Imperial College London
Alternate

Professor Claudia Clopath

Faculty of Engineering, Department 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{Sadeh:2020:10.1073/pnas.2004568117,
author = {Sadeh, S and Clopath, C},
doi = {10.1073/pnas.2004568117},
journal = {Proceedings of the National Academy of Sciences of USA},
pages = {26966--26976},
title = {Theory of neuronal perturbome in cortical networks.},
url = {http://dx.doi.org/10.1073/pnas.2004568117},
volume = {117},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - To unravel the functional properties of the brain, we need to untangle how neurons interact with each other and coordinate in large-scale recurrent networks. One way to address this question is to measure the functional influence of individual neurons on each other by perturbing them in vivo. Application of such single-neuron perturbations in mouse visual cortex has recently revealed feature-specific suppression between excitatory neurons, despite the presence of highly specific excitatory connectivity, which was deemed to underlie feature-specific amplification. Here, we studied which connectivity profiles are consistent with these seemingly contradictory observations, by modeling the effect of single-neuron perturbations in large-scale neuronal networks. Our numerical simulations and mathematical analysis revealed that, contrary to the prima facie assumption, neither inhibition dominance nor broad inhibition alone were sufficient to explain the experimental findings; instead, strong and functionally specific excitatory-inhibitory connectivity was necessary, consistent with recent findings in the primary visual cortex of rodents. Such networks had a higher capacity to encode and decode natural images, and this was accompanied by the emergence of response gain nonlinearities at the population level. Our study provides a general computational framework to investigate how single-neuron perturbations are linked to cortical connectivity and sensory coding and paves the road to map the perturbome of neuronal networks in future studies.
AU  - Sadeh,S
AU  - Clopath,C
DO  - 10.1073/pnas.2004568117
EP  - 26976
PY  - 2020///
SN  - 0027-8424
SP  - 26966
TI  - Theory of neuronal perturbome in cortical networks.
T2  - Proceedings of the National Academy of Sciences of USA
UR  - http://dx.doi.org/10.1073/pnas.2004568117
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33055215
UR  - https://www.pnas.org/content/117/43/26966/tab-article-info
UR  - http://hdl.handle.net/10044/1/83818
VL  - 117
ER  -
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