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METHOD:PUBLISH
X-ORIGINAL-URL:https://arni-institute.org
X-WR-CALDESC:Events for ARNI
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X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20240614T113000
DTEND;TZID=UTC:20240614T130000
DTSTAMP:20260507T133103
CREATED:20240522T002311Z
LAST-MODIFIED:20240613T195532Z
UID:874-1718364600-1718370000@arni-institute.org
SUMMARY:CTN: Bob Datta
DESCRIPTION:Title and Abstract: TBD
URL:https://arni-institute.org/event/bob-datta/
LOCATION:Zuckerman Institute – L5-084\, 3227 Broadway\, New York\, NY\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240617T113000
DTEND;TZID=UTC:20240617T130000
DTSTAMP:20260507T133103
CREATED:20240613T195130Z
LAST-MODIFIED:20240613T195130Z
UID:929-1718623800-1718629200@arni-institute.org
SUMMARY:CTN: Stefano Fusi
DESCRIPTION:Title: The Geometry of Abstraction\n\nAbstract: I’ll first discuss the theoretical framework introduced in Bernardi et al. 2020\, Cell\, in which we propose a possible definition of abstract representations. I’ll go into the details of the most up-to-date  conceptual framework\, discuss the computational relevance of the representational geometry and the cross-validated measures of representational geometry that we normally use to characterize neural data in artificial and biological networks. Then I’ll apply the analytical tools to the study of human electrophysiological data (see Courellis\, H.S.\, Mixha\, J.\, Cardenas\, A.R.\, Kimmel\, D.\, Reed\, C.M.\, Valiante\, T.A.\, Salzman\, C.D.\, Mamelak\, A.N.\, Fusi\, S. and Rutishauser\, U.\, 2023. Abstract representations emerge in human hippocampal neurons during inference behavior. bioRxiv\, pp.2023-11 for more details).
URL:https://arni-institute.org/event/ctn-stefano-fusi/
LOCATION:Zuckerman Institute – L5-084\, 3227 Broadway\, New York\, NY\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240621T113000
DTEND;TZID=UTC:20240621T130000
DTSTAMP:20260507T133103
CREATED:20240605T191850Z
LAST-MODIFIED:20240620T180152Z
UID:906-1718969400-1718974800@arni-institute.org
SUMMARY:CTN: Peter Dayan
DESCRIPTION:Title: Risking your Tail: Curiosity\, Danger & Exploration \nAbstract: Risk and reward are critical balancing determinants of adaptive behaviour\, associated respectively with neophobia and neophilia in the case of exploration. There are rather great differences in how individuals engage with novelty – with substantial consequences for what they are able to learn. Here\, we consider how a modern formal treatment of risk (called the conditional value at risk) and pessimistic prior expectations can model some of these differences. Although the effects of risk on isolated decisions are well understood\, additional issues arise in the context of sequences of choices\, something that is inevitable in the case of exploration. This is joint work with Chris Gagne. Kevin Shen\, Xin Sui and Kevin Lloyd. \nMeeting ID: 958 4779 3410\nPasscode: ctn\nhttps://columbiauniversity.zoom.us/j/95847793410?pwd=VtROykVM4N5ywvAL7t32aYNZsH0Yyr.1
URL:https://arni-institute.org/event/peter-dayan/
LOCATION:Jerome L. Greene Science Center\, 3227 Broadway 9th FL Lecture Hall\, New York\, NY\, 10027\, United States
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