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The role of stochasticity in an information-optimal neural population code
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Stocks, Nigel G., McDonnell, Mark D., Morse, Robert P. and Nikitin, Alexander (2009) The role of stochasticity in an information-optimal neural population code. In: International Workshop on Statistical-Mechanical Informatics, Kyoto, Japan, September 13, 2009. Published in: Journal of Physics: Conference Series, Vol.197 Article no. 012015. doi:10.1088/1742-6596/197/1/012015 ISSN 1742-6588.
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Official URL: http://dx.doi.org/10.1088/1742-6596/197/1/012015
Abstract
In this paper we consider the optimisation of Shannon mutual information (MI) in the context of two model neural systems The first is a stochastic pooling network (population) of McCulloch-Pitts (MP) type neurons (logical threshold units) subject to stochastic forcing; the second is (in a rate coding paradigm) a population of neurons that each displays Poisson statistics (the so called 'Poisson neuron'). The mutual information is optimised as a function of a parameter that characterises the 'noise level'-in the MP array this parameter is the standard deviation of the noise, in the population of Poisson neurons it is the window length used to determine the spike count. In both systems we find that the emergent neural architecture and; hence, code that maximises the MI is strongly influenced by the noise level. Low noise levels leads to a heterogeneous distribution of neural parameters (diversity), whereas, medium to high noise levels result in the clustering of neural parameters into distinct groups that can be interpreted as subpopulations In both cases the number of subpopulations increases with a decrease in noise level. Our results suggest that subpopulations are a generic feature of an information optimal neural population
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QC Physics | ||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
| Series Name: | Journal of Physics Conference Series | ||||
| Journal or Publication Title: | Journal of Physics: Conference Series | ||||
| Publisher: | Institute of Physics Publishing Ltd. | ||||
| ISSN: | 1742-6588 | ||||
| Editor: | Inoue, M and Ishii, S and Kabashima, Y and Okada, M | ||||
| Official Date: | 2009 | ||||
| Dates: |
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| Volume: | Vol.197 | ||||
| Number of Pages: | 11 | ||||
| Page Range: | Article no. 012015 | ||||
| DOI: | 10.1088/1742-6596/197/1/012015 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC), Australian Research Council, ARC Communications Research Network | ||||
| Grant number: | GR/R35650/01, EP/D05/1894/1(P), DP0770747 | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | International Workshop on Statistical-Mechanical Informatics | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Kyoto, Japan | ||||
| Date(s) of Event: | September 13, 2009 |
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