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DTSTART;TZID=Europe/Berlin:20240704T100000
DTEND;TZID=Europe/Berlin:20240704T113000
DTSTAMP:20260408T110702
CREATED:20240506T082117Z
LAST-MODIFIED:20250603T124850Z
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SUMMARY:Caleb Weinreb (Harvard Medical School)\, “A Seconds-Long Timescale in Naturalistic Behavior Structures Neural Dynamics”
DESCRIPTION:A core task of animal cognition is to carve the world up into relevant contextual states – based on sensory input\, internal drives\, and awareness of one’s own recent behavior – and then hold these state assignments in working memory as guides for action and anchors for learning. By training animals to perform asks with well-defined contextual states\, researchers have homed in on prefrontal cortex (PFC) as a critical node for such contextual state inference. But these tasks are a poor approximation of real life; rather than engaging in a single well-defined task\, free animals define their own tasks and engage in them dynamically over time recognizing contexts that emerge naturally from their own interactions with task affordances. A core question in neuroethology is which specific “task states” emerge in a given experimental setting and how they structure neural dynamics\, including in PFC. We took advantage of motion sequencing (MoSeq) — which uses 3D pose tracking and machine learning to segment behavior into sub-second motifs or “syllables” – to understand how mPFC activity coevolves with behavior across multiple timescales during unconstrained social interaction and solitary exploration. We find mPFC activity correlates strongly with ongoing behavior\, and that these correlations are most parsimoniously explained through an underlying manifold of behavior states that evolve on a timescale of seconds. The behavior states influence not only which PFC neurons are active\, but also which variables are most strongly encoded. We also find that the composition of states is labile and propose that it emerges predictably from the number and salience of affordances in the animal’s environment. \n  \nThis talk will take place in person at SCIoI. \nPhoto by Pietro Jeng on Unsplash. \n 
URL:https://www.scienceofintelligence.de/event/caleb-weinreb-harvard-medical-school/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/pietro-jeng-n6B49lTx7NM-unsplash-1024x1024-1.jpg
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DTSTART;TZID=Europe/Berlin:20240718T100000
DTEND;TZID=Europe/Berlin:20240718T113000
DTSTAMP:20260408T110702
CREATED:20240624T113208Z
LAST-MODIFIED:20250603T124835Z
UID:20867-1721296800-1721302200@www.scienceofintelligence.de
SUMMARY:Adrian Sieler (Science of Intelligence): “Building Anthropomorphic Soft Robotic Hands With Human-Like Manipulation Abilities”
DESCRIPTION:More info to follow. \n  \nThis talk will take place in person at SCIoI.
URL:https://www.scienceofintelligence.de/event/adrian-sieler-science-of-intelligence-building-anthropomorphic-soft-robotic-hands-with-human-like-manipulation-abilities/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/06/20201020-SCIOI-Adrian1.jpg
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DTSTART;TZID=Europe/Berlin:20240725T100000
DTEND;TZID=Europe/Berlin:20240725T110000
DTSTAMP:20260408T110702
CREATED:20240719T144755Z
LAST-MODIFIED:20250603T124813Z
UID:21025-1721901600-1721905200@www.scienceofintelligence.de
SUMMARY:Ralf M. Haefner (University of Rochester\, NY)\, “How We Move Our Eyes To Collect Information”
DESCRIPTION:Abstract\nCollecting new information about the outside world is a key aspect of brain function. In the context of vision\, we move our eyes multiple times per second to accumulate evidence about a scene. Prior studies have suggested that this process is goal-directed and close to optimal. Here\, we show that this process of seeking new information suffers from a confirmation bias similar to what has been observed in a wide range of other contexts. We present data from a new gaze-contingent task that allows us to both estimate a participant’s current belief\, and compare that to their subsequent eye-movements. We find that these eye-movements are biased in a confirmatory way. Finally\, we show that these empirical results can be parsimoniously explained under the assumption that the brain performs approximate\, not exact\, inference\, with computations being more approximate in decision-making compared to sensory areas. \nThis talk will take place in person at SCIoI. \n  \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/ralf-m-haefner-university-of-rochester-ny-how-we-move-our-eyes-to-collect-information/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/07/Ralf-Haefner_1.webp
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