Imperial College London

Professor Claudia Clopath

Faculty of EngineeringDepartment of Bioengineering

Professor of Computational Neuroscience
 
 
 
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Contact

 

+44 (0)20 7594 1435c.clopath Website

 
 
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Location

 

Royal School of Mines 4.09Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Wilmes:2019:10.1038/s41467-019-12972-2,
author = {Wilmes, KA and Clopath, C},
doi = {10.1038/s41467-019-12972-2},
journal = {Nature Communications},
title = {Inhibitory microcircuits for top-down plasticity of sensory representations},
url = {http://dx.doi.org/10.1038/s41467-019-12972-2},
volume = {10},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Rewards influence plasticity of early sensory representations. The underlying changes in cir-cuitry are however unclear. Recent experimental findings suggest that inhibitory circuits regu-late learning. In addition, inhibitory neurons are highly modulated by diverse long-range inputs,including reward signals. We, therefore, hypothesise that inhibitory plasticity plays a major rolein adjusting stimulus representations. We investigate how top-down modulation by rewards in-teracts with local plasticity to induce long-lasting changes in circuitry. Using a computationalmodel of layer 2/3 primary visual cortex, we demonstrate how interneuron circuits can storeinformation about rewarded stimuli to instruct long-term changes in excitatory connectivity inthe absence of further reward. In our model, stimulus-tuned somatostatin-positive interneuronsdevelop strong connections to parvalbumin-positive interneurons during reward such that theyselectively disinhibit the pyramidal layer henceforth. This triggers excitatory plasticity, leadingto increased stimulus representation. We make specific testable predictions and show that thistwo-stage model allows for translation invariance of the learned representation.
AU - Wilmes,KA
AU - Clopath,C
DO - 10.1038/s41467-019-12972-2
PY - 2019///
SN - 2041-1723
TI - Inhibitory microcircuits for top-down plasticity of sensory representations
T2 - Nature Communications
UR - http://dx.doi.org/10.1038/s41467-019-12972-2
UR - http://hdl.handle.net/10044/1/74517
VL - 10
ER -