Journal article icon

Journal article

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...

Expand abstract

Actions


Access Document


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, Statistical, nonlinear, and soft matter physics
Volume:
86
Issue:
1 Pt 1
Pages:
011909
Publication date:
2012-07-05
DOI:
EISSN:
1550-2376
ISSN:
1539-3755
URN:
uuid:971850ae-7481-4e2f-9732-f8eb07953cc2
Source identifiers:
401639
Local pid:
pubs:401639

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP