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Journal article

Feedforward architectures driven by inhibitory interactions.

Abstract:

Directed information transmission is paramount for many social, physical, and biological systems. For neural systems, scientists have studied this problem under the paradigm of feedforward networks for decades. In most models of feedforward networks, activity is exclusively driven by excitatory neurons and the wiring patterns between them, while inhibitory neurons play only a stabilizing role for the network dynamics. Motivated by recent experimental discoveries of hippocampal circuitry, cort...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1007/s10827-017-0669-1

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Role:
Author
ORCID:
0000-0001-5200-4992
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-2426-6404
Belgian Jint Research Activities More from this funder
Belgian Dynamical Systems, Control and Optimisation Network More from this funder
Catholic University of Leuven More from this funder
Publisher:
Springer Publisher's website
Journal:
Journal of Computational Neuroscience Journal website
Volume:
44
Issue:
1
Pages:
63-74
Publication date:
2017-11-14
Acceptance date:
2017-10-17
DOI:
EISSN:
1573-6873
ISSN:
0929-5313
Pubs id:
pubs:747140
URN:
uri:93380fca-6dc7-4a59-a31e-974da9f3942d
UUID:
uuid:93380fca-6dc7-4a59-a31e-974da9f3942d
Local pid:
pubs:747140

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