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DTSTART;TZID=Europe/Berlin:20240201T100000
DTEND;TZID=Europe/Berlin:20240201T110000
DTSTAMP:20260428T230239
CREATED:20231113T091900Z
LAST-MODIFIED:20250603T125206Z
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SUMMARY:Stefan Leutgeb\, “Hippocampal Computations in Support of Spatial Navigation and Working Memory”
DESCRIPTION:Stefan Leutgeb is Professor of Neurobiology at University of California San Diego. Currently a fellow of the Wissenschaftskolleg zu Berlin with his research on neural computations in real brains and in artificial systems. More details to follow.\n\n\n\n\nThis talk will take place in person at SCIoI. \nPhoto by Alina Grubnyak on Unsplash. \n  \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-stefan-leutgeb-hippocampal-computations-in-support-of-spatial-navigation-and-working-memory/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240222T100000
DTEND;TZID=Europe/Berlin:20240222T110000
DTSTAMP:20260428T230239
CREATED:20240205T134855Z
LAST-MODIFIED:20250603T125157Z
UID:18017-1708596000-1708599600@www.scienceofintelligence.de
SUMMARY:Tim Kietzmann (University of Osnabrück)\, “Large Language Models Offer a Rich Representational Format for Understanding the Transformation of Visual Information in the Human Brain.”
DESCRIPTION:Abstract: Originating from the connectionist movement of cognitive science\, deep neural networks (DNNs) have had tremendous influence on artificial intelligence\, operating at the core of today’s most powerful applications. At the same time\, cognitive computational neuroscientists have recognised their promise to act as “Goldilocks” models of brain function: DNNs are grounded in sensory data\, can be trained to perform complex tasks in a distributed fashion\, are fully configurable/accessible to the experimenter\, and can be mapped to brain function across various levels of explanation. This has led to a fruitful research cycle in which biological aspects are integrated into network design\, and the corresponding networks are then tested for their ability to predict neural and behavioural data. This talk will present this emerging approach\, which we call neuroconnectionism\, as a cohesive large-scale research programme centered around ANNs as a computational language for expressing falsifiable theories about brain computation. As a case study\, I will focus on a collaborative effort in which we test the ability of large-language models (LLMs) to provide a good representational format for modelling human visual responses to natural scenes. By running tightly controlled model comparisons\, we demonstrate that recurrent neural networks\, trained to map from pixels to semantic LLM embedding\, provide the current best account of a large-scale\, 7T fMRI dataset (NSD)\, outperforming other supervised as well as unsupervised ANN models. These findings point towards the view that vision may not be optimised for visual categorisation alone\, but instead maps from retinal input into a high-dimensional semantic format that can be captured by contextual learning in language.\n\n\n\nThis talk will take place in person at SCIoI. \nPhoto by Pietro Jeng on Unsplash. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-tim-kietzmann-university-of-osnabruck-large-language-models-offer-a-rich-representational-format-for-understanding-the-transformation-of-visual-information-in-the-human-bra/
CATEGORIES:Thursday Morning Talk
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240222T160000
DTEND;TZID=Europe/Berlin:20240222T173000
DTSTAMP:20260428T230239
CREATED:20240110T140221Z
LAST-MODIFIED:20250603T125146Z
UID:18020-1708617600-1708623000@www.scienceofintelligence.de
SUMMARY:Antonio Bicchi (University of Pisa)\, “What Is It Like To Be a Bot?”
DESCRIPTION:Abstract \nThe impressive evolution that artificial intelligence\, virtual reality\, and robotics have recently undergone reached a point where it is now possible to fuse these technologies and create another body for the self. This possibility poses new questions at the core of embodied intelligence. In this talk I will examine a few of the technical\, scientific\, and philosophical issues related to using robots as avatars and “being a bot.” \n\n\n\n\n\nThis talk will take place in person at SCIoI. \n  \nPhoto by Owen Beard on Unsplash. \n 
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-antonio-bicchi-university-of-pisa-what-is-it-like-to-be-a-bot/
CATEGORIES:Distinguished Speaker Series
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240226
DTEND;VALUE=DATE:20240302
DTSTAMP:20260428T230239
CREATED:20250219T125508Z
LAST-MODIFIED:20250219T125518Z
UID:23524-1708905600-1709337599@www.scienceofintelligence.de
SUMMARY:Winter School "Ethics of Neuroscience and AI" 2024
DESCRIPTION:The 13th Winter School “Ethics of Neuroscience and AI” is taking place on Feb 26 – March 1\, 2024. It is organized by the BCCN Berlin/ICCN\, the Berlin School of Mind and Brain\, and the Excellence Cluster “Science of Intelligence”. The event is tailored for MSc and PhD students\, but covers a range of topics of potential interest to other researchers\, reflecting on the ethical and societal consequences of modern neuroscience.\nTheoretical foundations\, as well as practical and ethical aspects are addressed. Participants will benefit from a combination of lectures with group work and discussions\, where they will put the learned content into practice. \nScientific organizers: John-Dylan Haynes and Thomas Schmidt. \nFees: The Winter School is free of cost but registration is necessary. \nVenue: Bernstein Center for Computational Neuroscience Berlin\, Philippstr. 13 Haus 6\, 10115 Berlin.
URL:https://www.scienceofintelligence.de/event/winter-school-ethics-of-neuroscience-and-ai-2024/
CATEGORIES:External Event
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