Journal article
Feedforward architectures driven by inhibitory interactions.
- Abstract:
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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
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- Files:
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(Accepted manuscript, pdf, 4.2MB)
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- Publisher copy:
- 10.1007/s10827-017-0669-1
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Authors
Funding
Belgian Dynamical Systems, Control and Optimisation Network
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Belgian Jint Research Activities
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Catholic University of Leuven
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Bibliographic Details
- 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:
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1573-6873
- ISSN:
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0929-5313
- Pmid:
-
29139049
- Source identifiers:
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747140
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:747140
- UUID:
-
uuid:93380fca-6dc7-4a59-a31e-974da9f3942d
- Local pid:
- pubs:747140
- Deposit date:
- 2018-01-30
Terms of use
- Copyright holder:
- Springer Science+Business Media, LLC
- Copyright date:
- 2017
- Notes:
- © Springer Science+Business Media, LLC 2017. This is the accepted manuscript version of the article. The final version is available online from Springer at: https://doi.org/10.1007/s10827-017-0669-1
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