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Non-normal amplification in random balanced neuronal networks

Abstract:

In dynamical models of cortical networks, the recurrent connectivity can amplify the input given to the network in two distinct ways. One is induced by the presence of near-critical eigenvalues in the connectivity matrix W, producing large but slow activity fluctuations along the corresponding eigenvectors (dynamical slowing). The other relies on W not being normal, which allows the network activity to make large but fast excursions along specific directions. Here we investigate the trade-off...

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Publication status:
Published

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Publisher copy:
10.1103/PhysRevE.86.011909

Authors


Hennequin, G More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Physiology Anatomy and Genetics
Gerstner, W More by this author
Journal:
PHYSICAL REVIEW E
Volume:
86
Issue:
1
Publication date:
2012-07-11
DOI:
EISSN:
1550-2376
ISSN:
1539-3755
URN:
uuid:8fbddac7-82ab-4a28-9c72-fb6beefdbe34
Source identifiers:
401589
Local pid:
pubs:401589
Language:
English

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