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UID:calendar.1894.events_uoft_date.0@www.psych.utoronto.ca
CREATED:20251014T172922Z
DESCRIPTION:\nWhen and Where: \nWednesday, October 22, 2025 12:15 pm to 1
 :30 pm \n Psychology Lounge; Room 4043 \n Sidney Smith Hall \n 100 St. Ge
 orge Street \n\nSpeakers \nDr. James DiCarlo (Massachusetts Institute of T
 echnology) \n\nDescription: \nOver the past decade, neuroscience, cognit
 ive science and computer science (“AI”) converged to create specific, ima
 ge-computable, deep neural network models intended to appropriately abstr
 act, emulate and explain the mechanisms of primate ventral visual process
 ing, up to its deepest neural level, the inferior temporal cortex (IT). 
 Because these leading neuroscientific emulation models — aka “digital twin
 s” — are fully observable and machine-executable, they offer predictive a
 nd potential application power that our field’s prior conceptual models di
 d not.  Our team’s ongoing work is aimed at asking if current digital twin
  models might support non-invasive, beneficial brain modulation.  In this
  talk, I will describe a key result:  we demonstrate that we can use a di
 gital twin to design spatial patterns of light energy that, when “added” 
 to the organism’s retinal input in the context of ongoing natural visual p
 rocessing, results in precise modulation (i.e. rate bias) of the pattern 
 of a population of IT neurons (where any intended modulation pattern is ch
 osen ahead of time by the scientist). Because the IT visual neural populat
 ions are known to directly connect to and modulate downstream neural circu
 its (e.g. amygdala) that may underlie psychological affective states (e.g.
  mood and anxiety), this novel basic science may unlock a new, non-invas
 ive application avenue of potential future human clinical benefit.This pro
 gress and new impact possibilities resulted from convergent brain science 
 and AI engineering efforts in the domain of visual object intelligence.   
 I will motivate this as just one example of what I believe will unlock in 
 other domains of human intelligence as brain scientists and AI engineers c
 ollaborate to develop machine-executable models of the underlying mechanis
 ms of those still-mysterious domains.Alternate locations:MississaugaScarbo
 roughRotman Research InstituteCCT 4034SW 403748 Online: https://utoronto.z
 oom.us/j/88523051719 \n100 St. George Street \n\nCategories \n Ebbinghaus 
 Empire \n\nAudiences \n All
DTSTART;TZID=America/New_York:20251022T121500
DTEND;TZID=America/New_York:20251022T133000
LAST-MODIFIED:20251020T192851Z
LOCATION:100 St. George Street
SUMMARY:Do contemporary, machine-executable models of the primate ventral 
 visual system unlock the ability to non-invasively, beneficially modulate
  high level brain states?
URL;TYPE=URI:https://www.psych.utoronto.ca/ebbinghaus-empire-oct-22
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