Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9518
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Main Title: Learning place cells, grid cells and invariances with excitatory and inhibitory plasticity
Author(s): Weber, Simon Nikolaus
Sprekeler, Henning
Type: Article
Is Part Of: 10.14279/depositonce-8964
Language Code: en
Abstract: Neurons in the hippocampus and adjacent brain areas show a large diversity in their tuning to location and head direction, and the underlying circuit mechanisms are not yet resolved. In particular, it is unclear why certain cell types are selective to one spatial variable, but invariant to another. For example, place cells are typically invariant to head direction. We propose that all observed spatial tuning patterns – in both their selectivity and their invariance – arise from the same mechanism: Excitatory and inhibitory synaptic plasticity driven by the spatial tuning statistics of synaptic inputs. Using simulations and a mathematical analysis, we show that combined excitatory and inhibitory plasticity can lead to localized, grid-like or invariant activity. Combinations of different input statistics along different spatial dimensions reproduce all major spatial tuning patterns observed in rodents. Our proposed model is robust to changes in parameters, develops patterns on behavioral timescales and makes distinctive experimental predictions.
URI: https://depositonce.tu-berlin.de/handle/11303/10592
http://dx.doi.org/10.14279/depositonce-9518
Issue Date: 21-Feb-2018
Date Available: 15-Jan-2020
DDC Class: 500 Naturwissenschaften
600 Technik
Subject(s): neuroscience
Sponsor/Funder: BMBF, 01GQ1201, Lernen und Gedächtnis in balancierten Systemen
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: eLife
Publisher: eLife Sciences Publications
Publisher Place: Cambridge
Volume: 7
Article Number: e34560
Publisher DOI: 10.7554/eLife.34560
ISSN: 2050-084X
Appears in Collections:FG Modellierung kognitiver Prozesse » Publications

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