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  Special issue from the 2017 International Conference of Mathematical Neuroscience

Kilpatrick, Z., Gjorgjieva, J., & Rosenbaum, R. (2019). Special issue from the 2017 International Conference of Mathematical Neuroscience. J. Math.Neurosci., 9(1). doi:10.1186/s13408-018-0069-5.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-06D2-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-7B5A-A
Genre: Journal Article

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https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0069-5 (Any fulltext)
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 Creators:
Kilpatrick, Z.P.1, Author
Gjorgjieva, Julijana2, Author           
Rosenbaum, R.3, Author
Affiliations:
1Department of Applied Mathematics, University of Colorado Boulder, Boulder, USA zpkilpat@colorado.edu, ou_persistent22              
2Computation in Neural Circuits Group, Max Planck Institute for Brain Research, Max Planck Society, Max-von-Laue-Str. 4, 60438 Frankfurt am Main, DE, ou_2461694              
3Department of Applied Mathematics and Statistics, University of Notre Dame, Notre Dame, USA, ou_persistent22              

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 Abstract: The ongoing acquisition of large and multifaced data sets in neuroscience requires new mathematical tools for quantitatively grounding these experimental findings. Since 2015, the International Conference on Mathematical Neuroscience (ICMNS) has provided a forum for researchers to discuss current mathematical innovations emerging in neuroscience. This special issue assembles currenct research ant tutorials that were presented at the 2017 ICMNS held in Boulder, Colorado from May 30 to June 2. Topics discussed at the meeting inlcude correlation analysis of network activity, information theory for plastic synapses, combinatorics for attractor neural networks, and novel data assimilation methods for neuroscience-all of which are represented in this special issue.

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Language(s): eng - English
 Dates: 2019-01-07
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1186/s13408-018-0069-5
PMID: 30617922
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Title: J. Math.Neurosci.
Source Genre: Journal
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Pages: - Volume / Issue: 9 (1) Sequence Number: - Start / End Page: - Identifier: -