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BEGIN:VEVENT

CATEGORIES:Medicine
CATEGORIES:Natural Sciences
CATEGORIES:Social Sciences
CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Panel/Seminar/Colloquium
CATEGORIES:Research
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20221215T161216Z
DESCRIPTION:How do we learn in dynamic\, context-rich environments\, and w
 hat cognitive and neural mechanisms support this learning? This talk synt
 hesizes findings from two distinct lines of research that highlight the p
 owerful role of context in shaping memory. The first leverages immersive 
 virtual reality (VR) environments to investigate how distinctive spatial 
 contexts enhance long-term memory retention and minimize interference. Us
 ing fMRI to capture neural signatures of mental context reinstatement\, w
 e demonstrate how cortical reactivation of a learning context can bolster
  recall of information learned in that context. Additional work exploring
  the Method of Loci mnemonic technique\, adapted for use in VR\, showcase
 s how spatial scaffolding supports the memorization of non-spatial inform
 ation. The second line of research examines context-dependent statistical
  learning\, assessing whether individuals can implicitly acquire multiple
  sets of temporal associations across shifting contexts. Behavioral resul
 ts reveal for the first time that humans are capable of learning of conte
 xt-dependent visual object sequences\, even when context shifts are unsig
 naled. Neural network modeling shows context-gated mnemonic predictions c
 an be achieved without any explicit coding of context\, relying instead o
 n emergent dynamics within its hidden layers. Representational similarity
  analysis of these hidden layer representations tracks the evolution of c
 ontext sensitivity and its relation to task performance. Together\, these
  studies shed light on how spatial and temporal contexts profoundly shape
  our ability to acquire\, retain\, and retrieve information to support me
 mory-guided behavior.
DURATION:PT1H
DTSTAMP:20250121T174242Z
DTSTART;TZID=America/New_York:20250207T120000
LAST-MODIFIED:20250121T174242Z
LOCATION;X-BEDEWORK-UID=8a0870ef-4ed07e07-014e-f5632dea-00001261:LSRC - DI
 BS B035 Multipurpose Room
STATUS:CONFIRMED
SUMMARY:CCN Colloquium: "Learning in Context: Insights from Virtual Realit
 y\, fMRI\, and Visual Statistical Learning"
UID:CAL-8a000483-92c3adf6-0193-503292da-00004429demobedework@mysite.edu
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
 er/Lectures_Conferences/Lecture_Talk
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
 er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium
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 opics/Medicine
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 c-user/Topics/Natural Sciences
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T
 opics/Research
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=tiffany.scotton@duke.edu
 :Tiffany Scotton
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Social Sciences:/user/public
 -user/Topics/Social Sciences
X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_DIBS_Ce
 nterforCognitiveNeuroscience,":Center for Cognitive Neuroscience
X-BEDEWORK-SPEAKER:Jesse Rissman\, Ph.D. (UCLA)
X-BEDEWORK-DUKE-SERIES:CCN Colloquium
X-BEDEWORK-SUBMITTEDBY:dmv17 for Duke Institute for Brain Sciences (DIBS) 
 (agrp_InstituteforBrainSciences)
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X-BEDEWORK-IMAGE-CROP-HEIGHT:800
X-BEDEWORK-IMAGE-ALT-TEXT:Photo of Jesse
X-BEDEWORK-IMAGE:/public/Images/Jesse_Rissman_2024_official_headshot_20241
 121072831PM.jpg
X-BEDEWORK-THUMB-IMAGE:/public/Images/Jesse_Rissman_2024_official_headshot
 _20241121072831PM-thumb.png
END:VEVENT
END:VCALENDAR