Place-cell capacity and volatility with grid-like inputs
| Autor: | Lorenzo Sadun, Man Yi Yim, Ila Fiete, Thibaud Taillefumier |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Field (physics) Computer science QH301-705.5 Science Models Neurological Place cell volatility grid cells Topology Hippocampus General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 0302 clinical medicine perceptron None Code (cryptography) Animals Humans Computer Simulation place cells linear separability Biology (General) Linear separability Neuronal Plasticity General Immunology and Microbiology General Neuroscience Repertoire capacity Numerical Analysis Computer-Assisted General Medicine Grid Range (mathematics) 030104 developmental biology Space Perception Medicine Neural Networks Computer Cues Volatility (finance) 030217 neurology & neurosurgery Research Article Computational and Systems Biology Neuroscience |
| Zdroj: | eLife, Vol 10 (2021) eLife |
| Popis: | What factors constrain the arrangement of the multiple fields of a place cell? By modeling place cells as perceptrons that act on multiscale periodic grid-cell inputs, we analytically enumerate a place cell’s repertoire – how many field arrangements it can realize without external cues while its grid inputs are unique – and derive its capacity – the spatial range over which it can achieve any field arrangement. We show that the repertoire is very large and relatively noise-robust. However, the repertoire is a vanishing fraction of all arrangements, while capacity scales only as the sum of the grid periods so field arrangements are constrained over larger distances. Thus, grid-driven place field arrangements define a large response scaffold that is strongly constrained by its structured inputs. Finally, we show that altering grid-place weights to generate an arbitrary new place field strongly affects existing arrangements, which could explain the volatility of the place code. |
| Databáze: | OpenAIRE |
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