58 min
Linking neural representations of space by multiple attractor networks in the entorhinal cortex and the hippocampus
Computational Neuroscience, Neuroscience, Cognition and seminar by Yoram Burak, Hebrew University
Hosted by van Vreeswijk TNS
Wednesday 00:00–01:10 New York (GMT-5)
Recording available
Recording
Abstract
In the past decade evidence has accumulated in favor of the hypothesis that multiple sub-networks in the medial entorhinal cortex (MEC) are characterized by low-dimensional, continuous attractor dynamics. Much has been learned about the joint activity of grid cells within a module (a module consists of grid cells that share a common grid spacing), but little is known about the interactions between them. Under typical conditions of spatial exploration in which sensory cues are abundant, all grid-cells in the MEC represent the animal’s position in space and their joint activity lies on a two-dimensional manifold. However, if the grid cells in a single module mechanistically constitute independent attractor networks, then under conditions in which salient sensory cues are absent, errors could accumulate in the different modules in an uncoordinated manner. Such uncoordinated errors would give rise to catastrophic readout errors when attempting to decode position from the joint grid-cell activity. I will discuss recent theoretical works from our group, in which we explored different mechanisms that could impose coordination in the different modules. One of these mechanisms involves coordination with the hippocampus and must be set up such that it operates across multiple spatial maps that represent different environments. The other mechanism is internal to the entorhinal cortex and independent of the hippocampus.
Topics
Related seminars
Minute-scale periodic sequences in medial entorhinal cortex
Video · 50 min · Feb 1, 2023Soledad Gonzalo Cogno, Norwegian University of Science and Technology, Trondheim
More from van Vreeswijk TNS
All talksA recurrent network model of planning explains hippocampal replay and human behavior
May 31, 2023Guillaume HennequinThe Geometry of Decision-Making
May 24, 2023Iain CouzinRichly structured reward predictions in dopaminergic learning circuits
May 17, 2023Angela J. Langdon
More with Yoram Burak
All their workTwo explorations into the dynamic representation of continuous variables in the brain
Seminar · Video · Mar 14, 2022BCCN Munich lecture series