Henning Sprekeler
Photo: SCIoI
Henning Sprekeler is Bernstein Professor of Modeling of Cognitive Processes. For SCIoI, he represents the analytical discipline computational neuroscience. He has extensive expertise in computational modelling of synaptic plasticity and its consequences for behavioural learning and the formation of memories. He has also worked on the self-organised development of high-level sensory representations, an essential prerequisite for intelligent behaviour.
Projects
Henning Sprekeler is member of:
• Project 03: Mouse lock box
• Project 12: Learning of intelligent swarm behavior
• Project 13: Architectural design principles for intelligence: Modularity vs Integrity
• Project 25: Mice learning in social interaction
• Project 33: Shepherding behaviour in predator-prey interactions
• Project 40: Big mouse data
• Project 46: Mouse lock box 2
• Project 58: From exploring basic maze elements to algorithmic rules for the escape room
• Project 12: Learning of intelligent swarm behavior
• Project 13: Architectural design principles for intelligence: Modularity vs Integrity
• Project 25: Mice learning in social interaction
• Project 33: Shepherding behaviour in predator-prey interactions
• Project 40: Big mouse data
• Project 46: Mouse lock box 2
• Project 58: From exploring basic maze elements to algorithmic rules for the escape room
Publications +
6984777
Sprekeler
1
apa
50
date
desc
year
20028
https://www.scienceofintelligence.de/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%226EWSDF53%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Reiske%20et%20al.%22%2C%22parsedDate%22%3A%222026-06-15%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BReiske%2C%20P.%2C%20Boon%2C%20M.%20N.%2C%20Andresen%2C%20N.%2C%20Traverso%2C%20S.%2C%20Daniels%2C%20M.%2C%20Hohlbaum%2C%20K.%2C%20Lewejohann%2C%20L.%2C%20Th%26%23xF6%3Bne-Reineke%2C%20C.%2C%20Hellwich%2C%20O.%2C%20%26amp%3B%20Sprekeler%2C%20H.%20%282026%29.%20Mouse%20Lockbox%20Dataset%3A%20Behavior%20Recognition%20for%20Mice%20Solving%20Lockboxes.%20%26lt%3Bi%26gt%3BInternational%20Journal%20of%20Computer%20Vision%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B134%26lt%3B%5C%2Fi%26gt%3B%287%29%2C%20318.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs11263-026-02908-x%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs11263-026-02908-x%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Mouse%20Lockbox%20Dataset%3A%20Behavior%20Recognition%20for%20Mice%20Solving%20Lockboxes%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Patrik%22%2C%22lastName%22%3A%22Reiske%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marcus%20N.%22%2C%22lastName%22%3A%22Boon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Niek%22%2C%22lastName%22%3A%22Andresen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sole%22%2C%22lastName%22%3A%22Traverso%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marieatou%22%2C%22lastName%22%3A%22Daniels%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Katharina%22%2C%22lastName%22%3A%22Hohlbaum%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lars%22%2C%22lastName%22%3A%22Lewejohann%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christa%22%2C%22lastName%22%3A%22Th%5Cu00f6ne-Reineke%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Olaf%22%2C%22lastName%22%3A%22Hellwich%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%5D%2C%22abstractNote%22%3A%22Machine%20learning%20and%20computer%20vision%20methods%20have%20a%20major%20impact%20on%20the%20study%20of%20natural%20animal%20behavior%2C%20as%20they%20enable%20the%20%28semi-%29%20automatic%20analysis%20of%20vast%20amounts%20of%20video%20data.%20Such%20large-scale%20analysis%20is%20essential%20not%20only%20to%20mere%20behavioral%20research%20but%20its%20applicability%20spans%20across%20a%20large%20range%20of%20disciplines.%20Mice%20are%20the%20standard%20mammalian%20model%20system%20in%20most%20behavioral%20research%20fields%2C%20but%20the%20datasets%20available%20today%20to%20refine%20such%20methods%20focus%20either%20on%20isolated%20or%20social%20behaviors.%20In%20contrast%2C%20datasets%20in%20which%20animals%20interact%20with%20a%20physical%20apparatus%2C%20which%20is%20highly%20relevant%20across%20disciplines%20that%20study%20learning%2C%20are%20as%20of%20yet%20unavailable.%20In%20this%20work%2C%20we%20present%20a%20video%20dataset%20of%20individual%20mice%20solving%20%28multi-step%29%20mechanical%20puzzles%2C%20so-called%20lockboxes.%20The%20more%20than%20110%5Cu00a0hours%20of%20total%20playtime%20show%20their%20behavior%20recorded%20from%20three%20different%20perspectives.%20As%20a%20benchmark%20for%20frame-level%20action%20classification%20methods%2C%20we%20provide%20human-annotated%20labels%20for%20all%20videos%20of%20two%20different%20mice%2C%20equaling%2013%25%20of%20our%20dataset.%20Our%20action%20labels%20provide%20two%20levels%20of%20complexity%2C%20requiring%20the%20classification%20of%20both%20what%20the%20mouse%20is%20doing%20as%20well%20as%20which%20object%20is%20targeted.%20Additionally%2C%20as%20an%20initial%20comparison%20against%20the%20human-annotated%20labels%2C%20we%20used%20two%20different%20keypoint%5Cu00a0%28pose%29%20tracking-based%20action%20classification%20frameworks%20as%20well%20as%20an%20autoencoder-based%20framework%2C%20which%20illustrates%20the%20challenges%20of%20automated%20labeling%20of%20fine-grained%20behaviors%2C%20such%20as%20the%20manipulation%20of%20objects.%20We%20hope%20that%20our%20work%20will%20help%20accelerate%20the%20advancement%20of%20automated%20action%20and%20behavior%20classification%20in%20a%20task-driven%20environment.%20Our%20dataset%2C%20including%20videos%20and%20human-annotated%20labels%2C%20is%20publicly%20available%20at%20https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.14279%5C%2Fdepositonce-23850.%22%2C%22date%22%3A%222026-06-15%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1007%5C%2Fs11263-026-02908-x%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1007%5C%2Fs11263-026-02908-x%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221573-1405%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-29T10%3A40%3A16Z%22%7D%7D%2C%7B%22key%22%3A%22GYPMKVUT%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Boon%20et%20al.%22%2C%22parsedDate%22%3A%222026%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BBoon%2C%20M.%20N.%2C%20Andresen%2C%20N.%2C%20Traverso%2C%20S.%2C%20Meier%2C%20S.%2C%20Schuessler%2C%20F.%2C%20Hellwich%2C%20O.%2C%20Lewejohann%2C%20L.%2C%20Th%26%23xF6%3Bne-Reineke%2C%20C.%2C%20Hohlbaum%2C%20K.%2C%20%26amp%3B%20Sprekeler%2C%20H.%20%282026%29.%20%26lt%3Bi%26gt%3BMechanical%20problem%20solving%20in%20mice%26lt%3B%5C%2Fi%26gt%3B%20%5BPoster%5D.%20Computational%20and%20Systems%20Neuroscience%20%28COSYNE%29%202026.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22presentation%22%2C%22title%22%3A%22Mechanical%20problem%20solving%20in%20mice%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Marcus%20N.%22%2C%22lastName%22%3A%22Boon%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Niek%22%2C%22lastName%22%3A%22Andresen%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Sole%22%2C%22lastName%22%3A%22Traverso%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Sophia%22%2C%22lastName%22%3A%22Meier%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Friedrich%22%2C%22lastName%22%3A%22Schuessler%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Olaf%22%2C%22lastName%22%3A%22Hellwich%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Lars%22%2C%22lastName%22%3A%22Lewejohann%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Christa%22%2C%22lastName%22%3A%22Th%5Cu00f6ne-Reineke%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Katharina%22%2C%22lastName%22%3A%22Hohlbaum%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222026%22%2C%22sessionTitle%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-22T10%3A44%3A39Z%22%7D%7D%2C%7B%22key%22%3A%22UMYYUD5Y%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Reiske%20et%20al.%22%2C%22parsedDate%22%3A%222025%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BReiske%2C%20P.%2C%20Boon%2C%20M.%20N.%2C%20Andresen%2C%20N.%2C%20Traverso%2C%20S.%2C%20Hohlbaum%2C%20K.%2C%20Lewejohann%2C%20L.%2C%20Th%26%23xF6%3Bne-Reineke%2C%20C.%2C%20Hellwich%2C%20O.%2C%20%26amp%3B%20Sprekeler%2C%20H.%20%282025%29.%20%26lt%3Bi%26gt%3BMouse%20Lockbox%20Dataset%3A%20Behavior%20Recognition%20for%20Mice%20Solving%20Lockboxes%26lt%3B%5C%2Fi%26gt%3B.%20CV4Animals%20Workshop%20at%20IEEE%5C%2FCVF%20Computer%20Vision%20and%20Pattern%20Recognition%20Conference%20%28CVPR%29.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Mouse%20Lockbox%20Dataset%3A%20Behavior%20Recognition%20for%20Mice%20Solving%20Lockboxes%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Patrik%22%2C%22lastName%22%3A%22Reiske%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marcus%20N.%22%2C%22lastName%22%3A%22Boon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Niek%22%2C%22lastName%22%3A%22Andresen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Soledad%22%2C%22lastName%22%3A%22Traverso%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Katharina%22%2C%22lastName%22%3A%22Hohlbaum%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lars%22%2C%22lastName%22%3A%22Lewejohann%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christa%22%2C%22lastName%22%3A%22Th%5Cu00f6ne-Reineke%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Olaf%22%2C%22lastName%22%3A%22Hellwich%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22proceedingsTitle%22%3A%22%22%2C%22conferenceName%22%3A%22CV4Animals%20Workshop%20at%20IEEE%5C%2FCVF%20Computer%20Vision%20and%20Pattern%20Recognition%20Conference%20%28CVPR%29%22%2C%22date%22%3A%222025%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISBN%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-22T10%3A44%3A39Z%22%7D%7D%2C%7B%22key%22%3A%229HCXXJXZ%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Hohlbaum%20et%20al.%22%2C%22parsedDate%22%3A%222024-08-28%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BHohlbaum%2C%20K.%2C%20Andresen%2C%20N.%2C%20Mieske%2C%20P.%2C%20Kahnau%2C%20P.%2C%20Lang%2C%20B.%2C%20Diederich%2C%20K.%2C%20Palme%2C%20R.%2C%20Mundhenk%2C%20L.%2C%20Sprekeler%2C%20H.%2C%20Hellwich%2C%20O.%2C%20Th%26%23xF6%3Bne-Reineke%2C%20C.%2C%20%26amp%3B%20Lewejohann%2C%20L.%20%282024%29.%20Lockbox%20enrichment%20facilitates%20manipulative%20and%20cognitive%20activities%20for%20mice.%20%26lt%3Bi%26gt%3BOpen%20Research%20Europe%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B4%26lt%3B%5C%2Fi%26gt%3B%2C%20108.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.12688%5C%2Fopenreseurope.17624.2%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.12688%5C%2Fopenreseurope.17624.2%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Lockbox%20enrichment%20facilitates%20manipulative%20and%20cognitive%20activities%20for%20mice%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Katharina%22%2C%22lastName%22%3A%22Hohlbaum%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Niek%22%2C%22lastName%22%3A%22Andresen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%22%2C%22lastName%22%3A%22Mieske%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pia%22%2C%22lastName%22%3A%22Kahnau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benjamin%22%2C%22lastName%22%3A%22Lang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kai%22%2C%22lastName%22%3A%22Diederich%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Rupert%22%2C%22lastName%22%3A%22Palme%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lars%22%2C%22lastName%22%3A%22Mundhenk%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Olaf%22%2C%22lastName%22%3A%22Hellwich%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christa%22%2C%22lastName%22%3A%22Th%5Cu00f6ne-Reineke%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lars%22%2C%22lastName%22%3A%22Lewejohann%22%7D%5D%2C%22abstractNote%22%3A%22Background%20Due%20to%20the%20lack%20of%20complexity%20and%20variety%20of%20stimuli%2C%20conventional%20housing%20conditions%20of%20laboratory%20mice%20do%20not%20allow%20these%20animals%20to%20fully%20express%20their%20behavioral%20repertoire%2C%20including%20manipulative%20and%20cognitive%20activities.%20Therefore%2C%20we%20designed%20mechanical%20puzzles%2C%20so-called%20lockboxes%2C%20for%20mice%20that%20can%20be%20provided%20in%20their%20home%20cages.%20We%20investigated%20the%20impact%20of%20the%20lockbox%20enrichment%20on%20their%20phenotype%20and%20affective%20state%20when%20compared%20to%20conventional%20housing%20%28CH%29%20and%20super-environmental%20enrichment%20%28SEE%29.%20Methods%20Young%20adult%20female%20C57BL%5C%2F6JCrl%20mice%20were%20examined%20before%20and%20after%202-month%20exposure%20to%20the%20different%20types%20of%20enrichment%20in%20a%20phenotyping%20test%20battery%2C%20including%20tests%20for%20trait%20and%20state%20anxiety-related%20behavior%2C%20calorimetric%20measurements%2C%20body%20weight%20measurements%2C%20the%20analysis%20of%20stress%20hormone%20metabolite%20concentrations%2C%20and%20sequential%20problem-solving%20abilities%20with%20a%20novel%20lockbox.%20At%20the%20end%20of%20the%20study%2C%20adrenal%20gland%20weights%20were%20determined%20and%20pathohistological%20evaluation%20was%20performed.%20For%20all%20continuous%20variables%2C%20the%20relative%20variability%20was%20calculated.%20Results%20While%20the%20different%20types%20of%20enrichment%20affected%20trait%20anxiety-related%20behavior%2C%20neither%20state%20anxiety-related%20behavior%20nor%20physiological%20variables%20%28i.e.%2C%20bodyweight%2C%20resting%20metabolic%20rate%2C%20stress%20hormone%20metabolite%20concentrations%2C%20adrenal%20gland%20weights%29%20were%20influenced.%20LE%20improved%20sequential%20problem-solving%20%28i.e.%2C%20solving%20novel%20lockboxes%29%20when%20compared%20to%20SEE.%20Regardless%20of%20the%20housing%20condition%2C%20the%20relative%20variability%20increased%20in%20most%20variables%20over%20time%2C%20although%20the%20coefficient%20of%20variation%20decreased%20for%20some%20variables%2C%20especially%20in%20animals%20with%20access%20to%20LE.%20There%20was%20no%20evidence%20of%20toxicopathological%20effects%20associated%20with%20the%20material%20from%20which%20the%20lockboxes%20were%20made.%20Conclusions%20All%20lockboxes%20are%20available%20as%20open-source%20tool.%20LE%20revealed%20beneficial%20effects%20on%20the%20affective%20state%20of%20laboratory%20mice%20and%20their%20performance%20in%20solving%20novel%20lockboxes.%20Neither%20relevant%20phenotype%20of%20the%20mice%20nor%20reproducibility%20of%20the%20data%20were%20compromised%20by%20LE%2C%20similar%20to%20SEE.%20The%20lockboxes%20may%20also%20be%20used%20as%20novel%20approach%20for%20assessing%20cognition%20in%20mice.%22%2C%22date%22%3A%222024-8-28%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.12688%5C%2Fopenreseurope.17624.2%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fopen-research-europe.ec.europa.eu%5C%2Farticles%5C%2F4-108%5C%2Fv2%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222732-5121%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-22T11%3A58%3A06Z%22%7D%7D%2C%7B%22key%22%3A%22BPRZ4YZZ%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Boon%20et%20al.%22%2C%22parsedDate%22%3A%222024-07-30%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BBoon%2C%20M.%20N.%2C%20Andresen%2C%20N.%2C%20Traverso%2C%20S.%2C%20Meier%2C%20S.%2C%20Schuessler%2C%20F.%2C%20Hellwich%2C%20O.%2C%20Lewejohann%2C%20L.%2C%20Th%26%23xF6%3Bne-Reineke%2C%20C.%2C%20Sprekeler%2C%20H.%2C%20%26amp%3B%20Hohlbaum%2C%20K.%20%282024%29.%20%26lt%3Bi%26gt%3BMechanical%20problem%20solving%20in%20mice%26lt%3B%5C%2Fi%26gt%3B.%20bioRxiv.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1101%5C%2F2024.07.29.605658%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1101%5C%2F2024.07.29.605658%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22preprint%22%2C%22title%22%3A%22Mechanical%20problem%20solving%20in%20mice%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marcus%20Nicolaas%22%2C%22lastName%22%3A%22Boon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Niek%22%2C%22lastName%22%3A%22Andresen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Soledad%22%2C%22lastName%22%3A%22Traverso%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sophia%22%2C%22lastName%22%3A%22Meier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Friedrich%22%2C%22lastName%22%3A%22Schuessler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Olaf%22%2C%22lastName%22%3A%22Hellwich%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lars%22%2C%22lastName%22%3A%22Lewejohann%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christa%22%2C%22lastName%22%3A%22Th%5Cu00f6ne-Reineke%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Katharina%22%2C%22lastName%22%3A%22Hohlbaum%22%7D%5D%2C%22abstractNote%22%3A%22Behavioral%20learning%20is%20a%20complex%20phenomenon%20that%20involves%20cognitive%2C%20perceptual%2C%20motor%2C%20and%20emotional%20contributions.%20Yet%2C%20most%20animal%20studies%20focus%20on%20reductionist%20tasks%20that%20aim%20to%20isolate%20one%20of%20these%20aspects.%20%5CnHere%2C%20we%20use%20a%20lockbox%20%5Cu2014%20a%20complex%2C%20multi-step%20mechanical%20puzzle%20%20%5Cu2014%20to%20study%20learning%20dynamics%20in%20freely%20behaving%20mice.%20The%20mice%20engaged%20spontaneously%20with%20the%20task%20and%20learned%20to%20solve%20it%20within%20just%20a%20few%20trials.%20To%20dissect%20different%20contributions%20to%20this%20rapid%20form%20of%20learning%2C%20we%20combined%20deep%20learning-based%20behavioral%20tracking%20in%20a%20multi-camera%20setup%20with%20probabilistic%20inference%20and%20computational%20modeling.%20%5CnWe%20find%20that%20the%20learning%20progress%20of%20the%20mice%20was%20initially%20dominated%20by%20the%20acquisition%20of%20motor%20skills%2C%20i.e.%2C%20the%20increased%20ability%20to%20manipulate%20the%20individual%20mechanisms%2C%20while%20a%20cognitive%20strategy%20for%20the%20task%20sequence%20emerged%20only%20later.%20The%20lockbox%20paradigm%20may%20hence%20offer%20a%20promising%20framework%20for%20studying%20the%20interaction%20between%20low-level%20motor%20learning%20and%20high-level%20decision-making%20strategies%20in%20a%20single%2C%20ethologically%20relevant%20task.%22%2C%22genre%22%3A%22%22%2C%22repository%22%3A%22bioRxiv%22%2C%22archiveID%22%3A%22%22%2C%22date%22%3A%222024-07-30%22%2C%22DOI%22%3A%2210.1101%5C%2F2024.07.29.605658%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fbiorxiv.org%5C%2Flookup%5C%2Fdoi%5C%2F10.1101%5C%2F2024.07.29.605658%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-22T11%3A59%3A00Z%22%7D%7D%2C%7B%22key%22%3A%22WPSHXF7I%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22%5Cu00d6ks%5Cu00fcz%20et%20al.%22%2C%22parsedDate%22%3A%222024%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3B%26%23xD6%3Bks%26%23xFC%3Bz%2C%20H.%20Y.%2C%20Molinari%2C%20F.%2C%20Sprekeler%2C%20H.%2C%20%26amp%3B%20Raisch%2C%20J.%20%282024%29.%20Boosting%20Fairness%20and%20Robustness%20in%20Over-the-Air%20Federated%20Learning.%20%26lt%3Bi%26gt%3BIEEE%20Control%20Systems%20Letters%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B8%26lt%3B%5C%2Fi%26gt%3B%2C%20682%26%23x2013%3B687.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FLCSYS.2024.3402123%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FLCSYS.2024.3402123%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Boosting%20Fairness%20and%20Robustness%20in%20Over-the-Air%20Federated%20Learning%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Halil%20Yi%5Cu011fit%22%2C%22lastName%22%3A%22%5Cu00d6ks%5Cu00fcz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fabio%22%2C%22lastName%22%3A%22Molinari%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J%5Cu00f6rg%22%2C%22lastName%22%3A%22Raisch%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222024%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FLCSYS.2024.3402123%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F10531774%5C%2F%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222475-1456%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-29T10%3A40%3A19Z%22%7D%7D%2C%7B%22key%22%3A%2256Q9R9TQ%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Boon%20et%20al.%22%2C%22parsedDate%22%3A%222024%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BBoon%2C%20M.%20N.%2C%20Andresen%2C%20N.%2C%20Traverso%2C%20S.%2C%20Meier%2C%20S.%2C%20Hellwich%2C%20O.%2C%20Lewejohann%2C%20L.%2C%20Th%26%23xF6%3Bne-Reineke%2C%20C.%2C%20Sprekeler%2C%20H.%2C%20%26amp%3B%20Hohlbaum%2C%20K.%20%282024%29.%20%26lt%3Bi%26gt%3BMouse%20lockbox%3A%20A%20sequential%20mechanical%20decision-making%20task%20to%20investigate%20complex%20mouse%20behavior%26lt%3B%5C%2Fi%26gt%3B%20%5BPoster%5D.%20International%20Congress%20for%20Neuroethology%20%28ICN%29.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22presentation%22%2C%22title%22%3A%22Mouse%20lockbox%3A%20A%20sequential%20mechanical%20decision-making%20task%20to%20investigate%20complex%20mouse%20behavior%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Marcus%20N.%22%2C%22lastName%22%3A%22Boon%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Niek%22%2C%22lastName%22%3A%22Andresen%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Soledad%22%2C%22lastName%22%3A%22Traverso%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Sophia%22%2C%22lastName%22%3A%22Meier%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Olaf%22%2C%22lastName%22%3A%22Hellwich%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Lars%22%2C%22lastName%22%3A%22Lewejohann%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Christa%22%2C%22lastName%22%3A%22Th%5Cu00f6ne-Reineke%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Katharina%22%2C%22lastName%22%3A%22Hohlbaum%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222024%22%2C%22sessionTitle%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-22T10%3A44%3A40Z%22%7D%7D%2C%7B%22key%22%3A%22WG9CZVAM%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Oksuz%20et%20al.%22%2C%22parsedDate%22%3A%222023-12-13%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BOksuz%2C%20H.%20Y.%2C%20Molinari%2C%20F.%2C%20Sprekeler%2C%20H.%2C%20%26amp%3B%20Raisch%2C%20J.%20%282023%29.%20Federated%20Learning%20in%20Wireless%20Networks%20via%20Over-the-Air%20Computations.%20%26lt%3Bi%26gt%3B2023%2062nd%20IEEE%20Conference%20on%20Decision%20and%20Control%20%28CDC%29%26lt%3B%5C%2Fi%26gt%3B%2C%204379%26%23x2013%3B4386.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FCDC49753.2023.10384001%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1109%5C%2FCDC49753.2023.10384001%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Federated%20Learning%20in%20Wireless%20Networks%20via%20Over-the-Air%20Computations%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Halil%20Yigit%22%2C%22lastName%22%3A%22Oksuz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fabio%22%2C%22lastName%22%3A%22Molinari%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J%5Cu00f6rg%22%2C%22lastName%22%3A%22Raisch%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22proceedingsTitle%22%3A%222023%2062nd%20IEEE%20Conference%20on%20Decision%20and%20Control%20%28CDC%29%22%2C%22conferenceName%22%3A%222023%2062nd%20IEEE%20Conference%20on%20Decision%20and%20Control%20%28CDC%29%22%2C%22date%22%3A%222023-12-13%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FCDC49753.2023.10384001%22%2C%22ISBN%22%3A%22979-8-3503-0124-3%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F10384001%5C%2F%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-22T11%3A55%3A36Z%22%7D%7D%2C%7B%22key%22%3A%22L3JLBDS2%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Boon%20et%20al.%22%2C%22parsedDate%22%3A%222023-09%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BBoon%2C%20M.%20N.%2C%20Andresen%2C%20N.%2C%20Meier%2C%20S.%2C%20Hellwich%2C%20O.%2C%20Lewejohann%2C%20L.%2C%20Th%26%23xF6%3Bne-Reineke%2C%20C.%2C%20Sprekeler%2C%20H.%2C%20%26amp%3B%20Hohlbaum%2C%20K.%20%282023%2C%20September%29.%20%26lt%3Bi%26gt%3BMouse%20lock%20box%3A%20a%20sequential%20mechanical%20decision-making%20task%20to%20investigate%20complex%20mouse%20behavior%26lt%3B%5C%2Fi%26gt%3B%20%5BPoster%5D.%20Bernstein%20Conference.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.12751%5C%2FNNCN.BC2023.056%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.12751%5C%2FNNCN.BC2023.056%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22presentation%22%2C%22title%22%3A%22Mouse%20lock%20box%3A%20a%20sequential%20mechanical%20decision-making%20task%20to%20investigate%20complex%20mouse%20behavior%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Marcus%20N.%22%2C%22lastName%22%3A%22Boon%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Niek%22%2C%22lastName%22%3A%22Andresen%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Sophia%22%2C%22lastName%22%3A%22Meier%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Olaf%22%2C%22lastName%22%3A%22Hellwich%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Lars%22%2C%22lastName%22%3A%22Lewejohann%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Christa%22%2C%22lastName%22%3A%22Th%5Cu00f6ne-Reineke%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%2C%7B%22creatorType%22%3A%22presenter%22%2C%22firstName%22%3A%22Katharina%22%2C%22lastName%22%3A%22Hohlbaum%22%7D%2C%7B%22creatorType%22%3A%22contributor%22%2C%22firstName%22%3A%22German%20Neuroinformatics%22%2C%22lastName%22%3A%22Node%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222023-09%22%2C%22sessionTitle%22%3A%22%22%2C%22DOI%22%3A%2210.12751%5C%2FNNCN.BC2023.056%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fabstracts.g-node.org%5C%2Fabstracts%5C%2Ff3b4d47f-e82b-46db-9df9-5872475f9c98%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-16T15%3A43%3A04Z%22%7D%7D%2C%7B%22key%22%3A%22BHW52Z2D%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lukas%20et%20al.%22%2C%22parsedDate%22%3A%222023-04-10%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BLukas%2C%20J.%2C%20Krause%2C%20J.%2C%20Tr%26%23xE4%3Bger%2C%20A.%20S.%2C%20Piotrowski%2C%20J.%20M.%2C%20Romanczuk%2C%20P.%2C%20Sprekeler%2C%20H.%2C%20Arias-Rodriguez%2C%20L.%2C%20Krause%2C%20S.%2C%20Schutz%2C%20C.%2C%20%26amp%3B%20Bierbach%2C%20D.%20%282023%29.%20Multispecies%20collective%20waving%20behaviour%20in%20fish.%20%26lt%3Bi%26gt%3BPhilosophical%20Transactions%20of%20the%20Royal%20Society%20B%3A%20Biological%20Sciences%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B378%26lt%3B%5C%2Fi%26gt%3B%281874%29%2C%2020220069.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1098%5C%2Frstb.2022.0069%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1098%5C%2Frstb.2022.0069%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Multispecies%20collective%20waving%20behaviour%20in%20fish%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Juliane%22%2C%22lastName%22%3A%22Lukas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jens%22%2C%22lastName%22%3A%22Krause%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arabella%20Sophie%22%2C%22lastName%22%3A%22Tr%5Cu00e4ger%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jonas%20Marc%22%2C%22lastName%22%3A%22Piotrowski%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pawel%22%2C%22lastName%22%3A%22Romanczuk%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lenin%22%2C%22lastName%22%3A%22Arias-Rodriguez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Stefan%22%2C%22lastName%22%3A%22Krause%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christopher%22%2C%22lastName%22%3A%22Schutz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bierbach%22%7D%5D%2C%22abstractNote%22%3A%22Collective%20behaviour%20is%20widely%20accepted%20to%20provide%20a%20variety%20of%20antipredator%20benefits.%20Acting%20collectively%20requires%20not%20only%20strong%20coordination%20among%20group%20members%2C%20but%20also%20the%20integration%20of%20among-individual%20phenotypic%20variation.%20Therefore%2C%20groups%20composed%20of%20more%20than%20one%20species%20offer%20a%20unique%20opportunity%20to%20look%20into%20the%20evolution%20of%20both%20mechanistic%20and%20functional%20aspects%20of%20collective%20behaviour.%20Here%2C%20we%20present%20data%20on%20mixed-species%20fish%20shoals%20that%20perform%20collective%20dives.%20These%20repeated%20dives%20produce%20water%20waves%20capable%20of%20delaying%20and%5C%2For%20reducing%20the%20success%20of%20piscivorous%20bird%20attacks.%20The%20large%20majority%20of%20the%20fish%20in%20these%20shoals%20consist%20of%20the%20sulphur%20molly%2C%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20Poecilia%20sulphuraria%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20%2C%20but%20we%20regularly%20also%20found%20a%20second%20species%2C%20the%20widemouth%20gambusia%2C%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20Gambusia%20eurystoma%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20%2C%20making%20these%20shoals%20mixed-species%20aggregations.%20In%20a%20set%20of%20laboratory%20experiments%2C%20we%20found%20that%20gambusia%20were%20much%20less%20inclined%20to%20dive%20after%20an%20attack%20as%20compared%20with%20mollies%2C%20which%20almost%20always%20dive%2C%20though%20mollies%20dived%20less%20deep%20when%20paired%20with%20gambusia%20that%20did%20not%20dive.%20By%20contrast%2C%20the%20behaviour%20of%20gambusia%20was%20not%20influenced%20by%20the%20presence%20of%20diving%20mollies.%20The%20dampening%20effect%20of%20less%20responsive%20gambusia%20on%20molly%20diving%20behaviour%20can%20have%20strong%20evolutionary%20consequences%20on%20the%20overall%20collective%20waving%20behaviour%20as%20we%20expect%20shoals%20with%20a%20high%20proportion%20of%20unresponsive%20gambusia%20to%20be%20less%20effective%20at%20producing%20repeated%20waves.%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20This%20article%20is%20part%20of%20a%20discussion%20meeting%20issue%20%5Cu2018Collective%20behaviour%20through%20time%5Cu2019.%22%2C%22date%22%3A%222023-04-10%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1098%5C%2Frstb.2022.0069%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Froyalsocietypublishing.org%5C%2Fdoi%5C%2F10.1098%5C%2Frstb.2022.0069%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220962-8436%2C%201471-2970%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-22T11%3A53%3A11Z%22%7D%7D%2C%7B%22key%22%3A%22BN8Y4DL9%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22G%5Cu00f3mez-Nava%20et%20al.%22%2C%22parsedDate%22%3A%222023%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BG%26%23xF3%3Bmez-Nava%2C%20L.%2C%20Lange%2C%20R.%20T.%2C%20Klamser%2C%20P.%20P.%2C%20Lukas%2C%20J.%2C%20Arias-Rodriguez%2C%20L.%2C%20Bierbach%2C%20D.%2C%20Krause%2C%20J.%2C%20Sprekeler%2C%20H.%2C%20%26amp%3B%20Romanczuk%2C%20P.%20%282023%29.%20Fish%20shoals%20resemble%20a%20stochastic%20excitable%20system%20driven%20by%20environmental%20perturbations.%20%26lt%3Bi%26gt%3BNature%20Physics%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B19%26lt%3B%5C%2Fi%26gt%3B%285%29%2C%20663%26%23x2013%3B669.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41567-022-01916-1%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41567-022-01916-1%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Fish%20shoals%20resemble%20a%20stochastic%20excitable%20system%20driven%20by%20environmental%20perturbations%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Luis%22%2C%22lastName%22%3A%22G%5Cu00f3mez-Nava%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Robert%20T.%22%2C%22lastName%22%3A%22Lange%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pascal%20P.%22%2C%22lastName%22%3A%22Klamser%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Juliane%22%2C%22lastName%22%3A%22Lukas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Lenin%22%2C%22lastName%22%3A%22Arias-Rodriguez%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22David%22%2C%22lastName%22%3A%22Bierbach%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jens%22%2C%22lastName%22%3A%22Krause%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Pawel%22%2C%22lastName%22%3A%22Romanczuk%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20Groups%20of%20animals%20can%20perform%20highly%20coordinated%20collective%20behaviours%20that%20confer%20benefits%20to%20the%20participating%20individuals%20by%20facilitating%20social%20information%20exchange%20and%20protection%20from%20predators%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%201%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20.%20Some%20of%20these%20characteristics%20could%20arise%20when%20groups%20operate%20at%20critical%20points%20between%20two%20structurally%20and%20functionally%20different%20states%2C%20leading%20to%20maximal%20responsiveness%20to%20external%20stimuli%20and%20effective%20propagation%20of%20information%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%202%2C3%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20.%20It%20has%20been%20proposed%20that%20animal%20groups%20constitute%20examples%20of%20self-organized%20systems%20at%20criticality%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%202%2C3%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20%3B%20however%2C%20direct%20empirical%20evidence%20of%20this%20hypothesis%5Cu2014in%20particular%20in%20the%20wild%5Cu2014is%20mostly%20absent.%20Here%20we%20show%20that%20highly%20conspicuous%2C%20repetitive%20and%20rhythmic%20collective%20dive%20cascades%20produced%20by%20many%20thousands%20of%20freshwater%20fish%20under%20high%20predation%20risk%20resemble%20a%20stochastic%20excitable%20system%20driven%20by%20environmental%20perturbations.%20Together%20with%20the%20results%20of%20an%20agent-based%20model%20of%20the%20system%2C%20this%20suggests%20that%20these%20fish%20shoals%20might%20operate%20at%20a%20critical%20point%20between%20a%20state%20of%20high%20individual%20diving%20activity%20and%20low%20overall%20diving%20activity.%20We%20show%20that%20the%20best%20fitting%20model%2C%20which%20is%20located%20at%20a%20critical%20point%2C%20allows%20information%20about%20external%20perturbations%5Cu2014such%20as%20predator%20attacks%5Cu2014to%20propagate%20most%20effectively%20through%20the%20shoal.%20Our%20results%20suggest%20that%20criticality%20might%20be%20a%20plausible%20principle%20of%20distributed%20information%20processing%20in%20large%20animal%20collectives.%22%2C%22date%22%3A%2205%5C%2F2023%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%5C%2Fs41567-022-01916-1%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.nature.com%5C%2Farticles%5C%2Fs41567-022-01916-1%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%221745-2473%2C%201745-2481%22%2C%22language%22%3A%22en%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-29T10%3A40%3A24Z%22%7D%7D%2C%7B%22key%22%3A%22CQRUIBYW%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Oksuz%20et%20al.%22%2C%22parsedDate%22%3A%222023%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BOksuz%2C%20H.%20Y.%2C%20Molinari%2C%20F.%2C%20Sprekeler%2C%20H.%2C%20%26amp%3B%20Raisch%2C%20J.%20%282023%29.%20%26lt%3Bi%26gt%3BBoosting%20Fairness%20and%20Robustness%20in%20Over-the-Air%20Federated%20Learning%26lt%3B%5C%2Fi%26gt%3B.%2063rd%20IEEE%20Conference%20on%20Decision%20and%20Control%20%28CDC%29.%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Boosting%20Fairness%20and%20Robustness%20in%20Over-the-Air%20Federated%20Learning%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Halil%20Yigit%22%2C%22lastName%22%3A%22Oksuz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fabio%22%2C%22lastName%22%3A%22Molinari%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J%5Cu00f6rg%22%2C%22lastName%22%3A%22Raisch%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22proceedingsTitle%22%3A%22%22%2C%22conferenceName%22%3A%2263rd%20IEEE%20Conference%20on%20Decision%20and%20Control%20%28CDC%29%22%2C%22date%22%3A%222023%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%22%22%2C%22ISBN%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-22T10%3A44%3A39Z%22%7D%7D%2C%7B%22key%22%3A%22HIHX6ZD7%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lange%20and%20Sprekeler%22%2C%22parsedDate%22%3A%222022-06-28%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BLange%2C%20R.%20T.%2C%20%26amp%3B%20Sprekeler%2C%20H.%20%282022%29.%20Learning%20Not%20to%20Learn%3A%20Nature%20versus%20Nurture%20In%20Silico.%20%26lt%3Bi%26gt%3BProceedings%20of%20the%20AAAI%20Conference%20on%20Artificial%20Intelligence%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B36%26lt%3B%5C%2Fi%26gt%3B%287%29%2C%207290%26%23x2013%3B7299.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1609%5C%2Faaai.v36i7.20691%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1609%5C%2Faaai.v36i7.20691%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22Learning%20Not%20to%20Learn%3A%20Nature%20versus%20Nurture%20In%20Silico%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Robert%20Tjarko%22%2C%22lastName%22%3A%22Lange%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%5D%2C%22abstractNote%22%3A%22Animals%20are%20equipped%20with%20a%20rich%20innate%20repertoire%20of%20sensory%2C%20behavioral%20and%20motor%20skills%2C%20which%20allows%20them%20to%20interact%20with%20the%20world%20immediately%20after%20birth.%20At%20the%20same%20time%2C%20many%20behaviors%20are%20highly%20adaptive%20and%20can%20be%20tailored%20to%20specific%20environments%20by%20means%20of%20learning.%20In%20this%20work%2C%20we%20use%20mathematical%20analysis%20and%20the%20framework%20of%20memory-based%20meta-learning%20%28or%20%5Cu2019learning%20to%20learn%5Cu2019%29%20to%20answer%20when%20it%20is%20beneficial%20to%20learn%20such%20an%20adaptive%20strategy%20and%20when%20to%20hard-code%20a%20heuristic%20behavior.%20We%20find%20that%20the%20interplay%20of%20ecological%20uncertainty%2C%20task%20complexity%20and%20the%20agents%5Cu2019%20lifetime%20has%20crucial%20effects%20on%20the%20meta-learned%20amortized%20Bayesian%20inference%20performed%20by%20an%20agent.%20There%20exist%20two%20regimes%3A%20One%20in%20which%20meta-learning%20yields%20a%20learning%20algorithm%20that%20implements%20task-dependent%20information-integration%20and%20a%20second%20regime%20in%20which%20meta-learning%20imprints%20a%20heuristic%20or%20%5Cu2019hard-coded%5Cu2019%20behavior.%20Further%20analysis%20reveals%20that%20non-adaptive%20behaviors%20are%20not%20only%20optimal%20for%20aspects%20of%20the%20environment%20that%20are%20stable%20across%20individuals%2C%20but%20also%20in%20situations%20where%20an%20adaptation%20to%20the%20environment%20would%20in%20fact%20be%20highly%20beneficial%2C%20but%20could%20not%20be%20done%20quickly%20enough%20to%20be%20exploited%20within%20the%20remaining%20lifetime.%20Hard-coded%20behaviors%20should%20hence%20not%20only%20be%20those%20that%20always%20work%2C%20but%20also%20those%20that%20are%20too%20complex%20to%20be%20learned%20within%20a%20reasonable%20time%20frame.%22%2C%22proceedingsTitle%22%3A%22Proceedings%20of%20the%20AAAI%20Conference%20on%20Artificial%20Intelligence%22%2C%22conferenceName%22%3A%22%22%2C%22date%22%3A%222022-06-28%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%2210.1609%5C%2Faaai.v36i7.20691%22%2C%22ISBN%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fojs.aaai.org%5C%2Findex.php%5C%2FAAAI%5C%2Farticle%5C%2Fview%5C%2F20691%22%2C%22ISSN%22%3A%222374-3468%2C%202159-5399%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-22T11%3A59%3A38Z%22%7D%7D%2C%7B%22key%22%3A%2288VEHKNL%22%2C%22library%22%3A%7B%22id%22%3A6984777%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vischer%20et%20al.%22%2C%22parsedDate%22%3A%222022%22%2C%22numChildren%22%3A1%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BVischer%2C%20M.%2C%20Lange%2C%20R.%20T.%2C%20%26amp%3B%20Sprekeler%2C%20H.%20%282022%29.%20On%20Lottery%20Tickets%20and%20Minimal%20Task%20Representations%20in%20Deep%20Reinforcement%20Learning.%20%26lt%3Bi%26gt%3BInternational%20Conference%20on%20Learning%20Representations%20%28ICLR%29%26lt%3B%5C%2Fi%26gt%3B.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.48550%5C%2FarXiv.2105.01648%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.48550%5C%2FarXiv.2105.01648%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22conferencePaper%22%2C%22title%22%3A%22On%20Lottery%20Tickets%20and%20Minimal%20Task%20Representations%20in%20Deep%20Reinforcement%20Learning%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marc%22%2C%22lastName%22%3A%22Vischer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Robert%20Tjarko%22%2C%22lastName%22%3A%22Lange%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Henning%22%2C%22lastName%22%3A%22Sprekeler%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22proceedingsTitle%22%3A%22International%20Conference%20on%20Learning%20Representations%20%28ICLR%29%22%2C%22conferenceName%22%3A%22%22%2C%22date%22%3A%222022%22%2C%22eventPlace%22%3A%22%22%2C%22DOI%22%3A%2210.48550%5C%2FarXiv.2105.01648%22%2C%22ISBN%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22%22%2C%22ISSN%22%3A%22%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-06-29T10%3A40%3A38Z%22%7D%7D%5D%7D
Reiske, P., Boon, M. N., Andresen, N., Traverso, S., Daniels, M., Hohlbaum, K., Lewejohann, L., Thöne-Reineke, C., Hellwich, O., & Sprekeler, H. (2026). Mouse Lockbox Dataset: Behavior Recognition for Mice Solving Lockboxes. International Journal of Computer Vision, 134(7), 318. https://doi.org/10.1007/s11263-026-02908-x
Boon, M. N., Andresen, N., Traverso, S., Meier, S., Schuessler, F., Hellwich, O., Lewejohann, L., Thöne-Reineke, C., Hohlbaum, K., & Sprekeler, H. (2026). Mechanical problem solving in mice [Poster]. Computational and Systems Neuroscience (COSYNE) 2026.
Reiske, P., Boon, M. N., Andresen, N., Traverso, S., Hohlbaum, K., Lewejohann, L., Thöne-Reineke, C., Hellwich, O., & Sprekeler, H. (2025). Mouse Lockbox Dataset: Behavior Recognition for Mice Solving Lockboxes. CV4Animals Workshop at IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR).
Hohlbaum, K., Andresen, N., Mieske, P., Kahnau, P., Lang, B., Diederich, K., Palme, R., Mundhenk, L., Sprekeler, H., Hellwich, O., Thöne-Reineke, C., & Lewejohann, L. (2024). Lockbox enrichment facilitates manipulative and cognitive activities for mice. Open Research Europe, 4, 108. https://doi.org/10.12688/openreseurope.17624.2
Boon, M. N., Andresen, N., Traverso, S., Meier, S., Schuessler, F., Hellwich, O., Lewejohann, L., Thöne-Reineke, C., Sprekeler, H., & Hohlbaum, K. (2024). Mechanical problem solving in mice. bioRxiv. https://doi.org/10.1101/2024.07.29.605658
Öksüz, H. Y., Molinari, F., Sprekeler, H., & Raisch, J. (2024). Boosting Fairness and Robustness in Over-the-Air Federated Learning. IEEE Control Systems Letters, 8, 682–687. https://doi.org/10.1109/LCSYS.2024.3402123
Boon, M. N., Andresen, N., Traverso, S., Meier, S., Hellwich, O., Lewejohann, L., Thöne-Reineke, C., Sprekeler, H., & Hohlbaum, K. (2024). Mouse lockbox: A sequential mechanical decision-making task to investigate complex mouse behavior [Poster]. International Congress for Neuroethology (ICN).
Oksuz, H. Y., Molinari, F., Sprekeler, H., & Raisch, J. (2023). Federated Learning in Wireless Networks via Over-the-Air Computations. 2023 62nd IEEE Conference on Decision and Control (CDC), 4379–4386. https://doi.org/10.1109/CDC49753.2023.10384001
Boon, M. N., Andresen, N., Meier, S., Hellwich, O., Lewejohann, L., Thöne-Reineke, C., Sprekeler, H., & Hohlbaum, K. (2023, September). Mouse lock box: a sequential mechanical decision-making task to investigate complex mouse behavior [Poster]. Bernstein Conference. https://doi.org/10.12751/NNCN.BC2023.056
Lukas, J., Krause, J., Träger, A. S., Piotrowski, J. M., Romanczuk, P., Sprekeler, H., Arias-Rodriguez, L., Krause, S., Schutz, C., & Bierbach, D. (2023). Multispecies collective waving behaviour in fish. Philosophical Transactions of the Royal Society B: Biological Sciences, 378(1874), 20220069. https://doi.org/10.1098/rstb.2022.0069
Gómez-Nava, L., Lange, R. T., Klamser, P. P., Lukas, J., Arias-Rodriguez, L., Bierbach, D., Krause, J., Sprekeler, H., & Romanczuk, P. (2023). Fish shoals resemble a stochastic excitable system driven by environmental perturbations. Nature Physics, 19(5), 663–669. https://doi.org/10.1038/s41567-022-01916-1
Oksuz, H. Y., Molinari, F., Sprekeler, H., & Raisch, J. (2023). Boosting Fairness and Robustness in Over-the-Air Federated Learning. 63rd IEEE Conference on Decision and Control (CDC).
Lange, R. T., & Sprekeler, H. (2022). Learning Not to Learn: Nature versus Nurture In Silico. Proceedings of the AAAI Conference on Artificial Intelligence, 36(7), 7290–7299. https://doi.org/10.1609/aaai.v36i7.20691
Vischer, M., Lange, R. T., & Sprekeler, H. (2022). On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning. International Conference on Learning Representations (ICLR). https://doi.org/10.48550/arXiv.2105.01648
SSBCracK Defence, Science & Technology News – August 2025 - New Dataset Captures Mice Solving Lockbox Puzzles in Complex Behavioral Study
Phys.org – August 2025 - Mice lockbox puzzle-solving captured in multi-camera video datasets
