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Topic: joint activity

Seminar
2 seminars

In Applied Mathematics and Computational Neuroscience

Seminar · Computational Neuroscience

Space wrapped onto a grid cell torus

Erik Hermansen · Dunn lab, NTNU

Wed, Nov 3, 2021 · 17:00 UTC

Entorhinal grid cells, so-called because of their hexagonally tiled spatial receptive fields, are organized in modules which, collectively, are believed to form a population code for the animal’s position. Here, we apply topological data analysis to simultaneous recordings of hundreds of grid cells and show that joint activity of grid cells within a module lies on a toroidal manifold. Each position of the animal in its physical environment corresponds to a single location on the torus, and each grid cell is preferentially active within a single “field” on the torus. Toroidal firing positions p

Seminar · Computational Neuroscience

Linking neural representations of space by multiple attractor networks in the entorhinal cortex and the hippocampus

Yoram Burak · Hebrew University

Wed, Dec 9, 2020 · 05:00 UTC

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-dim