BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Computational Neuroscience Journal Club - Rui Xia and Mate Lengyel
DTSTART:20221122T140000Z
DTEND:20221122T160000Z
UID:TALK193022@talks.cam.ac.uk
CONTACT:Luke Johnston
DESCRIPTION:Grid cells in the entorhinal cortex of the mammalian brain are
  thought to provide a multi-scale periodic representation that functions a
 s a metric for coding space. Years of research have been focusing on uncov
 ering the mechanisms and functional significance of this spatial represent
 ation in navigation. Many recent works have found that training neural net
 works to perform navigation tasks in 2D arenas based on velocity inputs ca
 n lead to the emergence of grid-like spatial response patterns\, under som
 e biologically plausible constraints.  Why and under what conditions grid 
 cell patterns emerge from such navigation-optimised neural networks remain
 s controversial.\n\nWe will first give an introduction to grid cells and p
 lace cells\, followed by path integration tasks solved by recurrent networ
 ks where grid-like representations are observed and are beneficial for goa
 l finding in unfamiliar and changing environments. We than present an anal
 ytic theory supporting grid-like firing fields through the lens of pattern
  formation\, and then opposing views about the suspected brittleness of th
 e phenomenon\, and its dependence on post-hoc implementational choices.\n\
 nReferences:\n\n[1] Andrea Banino\, Caswell Barry\, Benigno Uria\, Charles
  Blundell\, Timothy Lillicrap\, Piotr Mirowski\, Alexander Pritzel\, Marti
 n J Chadwick\, Thomas Degris\, Joseph Modayil\, and others. Vector-based n
 avigation using grid-like representations in artificial agents. Nature\, 5
 57(7705):429\, 2018\n\n[2] Sorscher\, Ben\, et al. A unified theory for th
 e computational and mechanistic origins of grid cells. Neuron\, 2022\n\n[3
 ] Schaeffer R\, Khona M\, Fiete I. No free lunch from deep learning in neu
 roscience: a case study through models of the entorhinal-hippocampal circu
 it. Advances in Neural Information Processing Systems\, 2022\n\n[4] Ben So
 rscher\, Gabriel C. Mel\, Aran Nayebi\, Lisa Giocomo\, Daniel Yamins\, and
  Surya Ganguli. When and why grid cells appear or not in trained path inte
 grators. bioRxiv\, 2022\n\nZoom information:\n\nhttps://eng-cam.zoom.us/j/
 84204498431?pwd=Um1oU284b1YxWThObGw4ZU9XZitWdz09\nMeeting ID: 842 0449 843
 1\nPasscode: 684140
LOCATION:In Person (CBL Seminar Room) and Online on Zoom
END:VEVENT
END:VCALENDAR