| Title |
Stochastic Network Models in Neuroscience: A Festschrift for Jack Cowan. Introduction to the Special Issue
|
|---|---|
| Published in |
The Journal of Mathematical Neuroscience, April 2016
|
| DOI | 10.1186/s13408-016-0036-y |
| Pubmed ID | |
| Authors |
Paul C. Bressloff, Bard Ermentrout, Olivier Faugeras, Peter J. Thomas |
| Abstract |
Jack Cowan's remarkable career has spanned, and molded, the development of neuroscience as a quantitative and mathematical discipline combining deep theoretical contributions, rigorous mathematical work and groundbreaking biological insights. The Banff International Research Station hosted a workshop in his honor, on Stochastic Network Models of Neocortex, July 17-24, 2014. This accompanying Festschrift celebrates Cowan's contributions by assembling current research in stochastic phenomena in neural networks. It combines historical perspectives with new results including applications to epilepsy, path-integral methods, stochastic synchronization, higher-order correlation analysis, and pattern formation in visual cortex. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 33% |
| Student > Master | 5 | 21% |
| Researcher | 3 | 13% |
| Student > Doctoral Student | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 33% |
| Mathematics | 2 | 8% |
| Engineering | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Physics and Astronomy | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 5 | 21% |
Attention Score in Context
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#18,326,885
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Outputs from The Journal of Mathematical Neuroscience
#53
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#208,312
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Outputs of similar age from The Journal of Mathematical Neuroscience
#1
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