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{Hellyer:2017:10.1371/journal.pcbi.1005721,
author = {Hellyer, P and Clopath, C and Kehagia, A and Turkheimer, FE and Leech, R},
doi = {10.1371/journal.pcbi.1005721},
journal = {PLoS Computational Biology},
title = {From homeostasis to behavior: Balanced activity in an exploration of embodied dynamic environmental-neural interaction},
url = {http://dx.doi.org/10.1371/journal.pcbi.1005721},
volume = {13},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In recent years, there have been many computational simulations of spontaneous neural dynamics. Here, we describe a simple model of spontaneous neural dynamics that controls an agent moving in a simple virtual environment. These dynamics generate interesting brain-environment feedback interactions that rapidly destabilize neural and behavioral dynamics demonstrating the need for homeostatic mechanisms. We investigate roles for homeostatic plasticity both locally (local inhibition adjusting to balance excitatory input) as well as more globally (regional “task negative” activity that compensates for “task positive”, sensory input in another region) balancing neural activity and leading to more stable behavior (trajectories through the environment). Our results suggest complementary functional roles for both local and macroscale mechanisms in maintaining neural and behavioral dynamics and a novel functional role for macroscopic “task-negative” patterns of activity (e.g., the default mode network).
AU  - Hellyer,P
AU  - Clopath,C
AU  - Kehagia,A
AU  - Turkheimer,FE
AU  - Leech,R
DO  - 10.1371/journal.pcbi.1005721
PY  - 2017///
SN  - 1553-734X
TI  - From homeostasis to behavior: Balanced activity in an exploration of embodied dynamic environmental-neural interaction
T2  - PLoS Computational Biology
UR  - http://dx.doi.org/10.1371/journal.pcbi.1005721
UR  - http://hdl.handle.net/10044/1/50387
VL  - 13
ER  -
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