BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ARNI - ECPv6.16.5.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:ARNI
X-ORIGINAL-URL:https://arni-institute.org
X-WR-CALDESC:Events for ARNI
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260802T100000
DTEND;TZID=America/New_York:20260802T180000
DTSTAMP:20260610T192956Z
CREATED:20260610T192956Z
LAST-MODIFIED:20260610T192956Z
UID:2563-1785664800-1785693600@arni-institute.org
SUMMARY:CCN 2026 Satelite Event: Modeling and Understanding Human Brain Computation at Scale
DESCRIPTION:Location: Zuckerman Institute (room TBD)\nDate and Time: August 2nd\, 10am to 6pm \nAbout:  \nRecent advances in deep learning and improvements in the quantity and quality of available human brain-activity data (including functional MRI\, EEG\, MEG\, and intracranial recordings) have made it possible to build accurate encoding models of the human brain that can predict neural activity for new visual and auditory stimuli in individual people\, even with generalization to new individuals. In parallel\, recent decoding models leverage prior information from generative multimodal models to extract rich perceptual and semantic content from brain activity with increasing fidelity. It remains unclear\, however\, how these technical advances can best be translated into theoretical advances (a better scientific understanding of human brain computation) and impactful applications for the benefit of humanity. \nOne important goal is to build human brain foundation models that are constrained simultaneously by rich stimulus data\, large-scale diverse brain-activity data\, and task performance requirements\, so as to capture the computations performed by the human brain. This satellite event “Modeling and Understanding Human Brain Computation at Scale” brings together researchers who build neural network models that capture shared structure in neural responses across the human population at scale and use the models to drive theoretical progress on the computations underlying human cognition and perception. A central theme is methodology: What mapping functions\, architectures\, and training regimes achieve strong generalization and enable interpretation? The event aims to foster dialogue between those collecting and modeling large-scale human brain data and those asking what such models can tell us about how the brain works and how human brain foundation models might be applied for human benefit.
URL:https://arni-institute.org/event/ccn-2026-satelite-event-modeling-and-understanding-human-brain-computation-at-scale/
LOCATION:To Be Determined
END:VEVENT
END:VCALENDAR