BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ARNI - ECPv6.18.2//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:20261020T020000
DTEND;TZID=America/New_York:20261020T160000
DTSTAMP:20261013T131325Z
CREATED:20260930T173946Z
LAST-MODIFIED:20261013T131325Z
UID:2665-1792461600-1792512000@arni-institute.org
SUMMARY:Speaker: Joshua Gold ARNI WG Multi-resource-cost optimization of neural network models
DESCRIPTION:Joshua Gold \nTitle: Flexible information bottlenecks in the brain \nAbstract: \nThe brain must make sense of the world from a constant bombardment of incoming information but using limited computational and other resources. These limitations introduce information bottlenecks in the brain\, where the information that is processed is a compressed (capacity-limited) version of the information that is received. I will describe ongoing projects in my lab that aim to better understand the nature of these bottlenecks\, in particular their flexibility across conditions and individuals. The first part of the talk will focus on recent experimental findings showing that sensory adaptation\, a form of bottleneck evident in the activity of single neurons throughout the brain\, can adjust flexibly to recent stimulus statistics to support effective decision-making in dynamic environments. The second part of the talk will focus on recent theoretical work\, supported by human psychophysics\, that aims to account for this kind of flexibility in terms of balancing inherent trade-offs between the information capacity and accuracy of processes that rely on making inferences about the world from noisy observations. This work also provides new perspectives on optimal behavior\, which can be thought of in terms the efficient and effective use of capacity-limited information. \nZoom: Upon request @ arni@columbia.edu
URL:https://arni-institute.org/event/speaker-joshua-gold-arni-wg-multi-resource-cost-optimization-of-neural-network-models/
LOCATION:Virtual
END:VEVENT
END:VCALENDAR