Publications

BibTex format

@article{Clopath:2020:10.7554/eLife.56053,
author = {Clopath, C and Sweeney, YA},
doi = {10.7554/eLife.56053},
journal = {eLife},
title = {Population coupling predicts the plasticity of stimulus responses in cortical circuits},
url = {http://dx.doi.org/10.7554/eLife.56053},
volume = {9},
year = {2020}
}

Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Some neurons have stimulus responses that are stable over days, whereas other neurons have highly plastic stimulus responses. Using a recurrent network model, we explore whether this could be due to an underlying diversity in their synaptic plasticity. We find that, in a network with diverse learning rates, neurons with fast rates are more coupled to population activity than neurons with slow rates. This plasticity-coupling link predicts that neurons with high population coupling exhibit more long-term stimulus response variability than neurons with low population coupling. We substantiate this prediction using recordings from the Allen Brain Observatory, finding that a neuron’s population coupling is correlated with the plasticity of its orientation preference. Simulations of a simple perceptual learning task suggest a particular functional architecture: a stable ‘backbone’ of stimulus representation formed by neurons with low population coupling, on top of which lies a flexible substrate of neurons with high population coupling.
AU  - Clopath,C
AU  - Sweeney,YA
DO  - 10.7554/eLife.56053
PY  - 2020///
SN  - 2050-084X
TI  - Population coupling predicts the plasticity of stimulus responses in cortical circuits
T2  - eLife
UR  - http://dx.doi.org/10.7554/eLife.56053
UR  - http://hdl.handle.net/10044/1/79511
VL  - 9
ER  -

Download

Professor Claudia Clopath

Contact

Location

Summary

Citation

BibTex format

RIS format (EndNote, RefMan)