McDonnell, Mark D., 1975- and Stocks, Nigel G. (2008) Optimal sigmoidal tuning curves for intensity encoding sensory neurons with quasi-Poisson variability. In: Seventeenth Annual Computational Neuroscience Meeting: CNS*2008, Portland, USA, 19-24 Jul 2008. Published in: BMC Neuroscience, Vol.9 (Suppl.1). p. 117.

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Abstract

Rate-coding neurons are often characterized by their tuning curve, that is, the average firing rate, T(x), as a function of stimulus intensity, x. However the substantial natural variability in firing rate that often occurs for a fixed stimulus provides a limitation on the fidelity of firing rate encoding of stimuli. Consequently, stimulus-dependent variance in firing rate, V(x), is crucial in studies of tuning curve optimality. Information theory can be used to quantify such limits and to address the question of finding the tuning curve that maximizes information rate.

Item Type:	Conference Item (Poster)
Subjects:	Q Science > QP Physiology
Divisions:	Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH):	Neurons -- Mathematical models, Information theory
Journal or Publication Title:	BMC Neuroscience
Publisher:	BioMed Central Ltd.
ISSN:	1471-2202
Date:	2008
Volume:	Vol.9
Number:	Suppl.1
Page Range:	p. 117
Identification Number:	10.1186/1471-2202-9-S1-P117
Status:	Peer Reviewed
Access rights to Published version:	Open Access
Funder:	Australian Research Council (ARC), Engineering and Physical Sciences Research Council (EPSRC)
Grant number:	DP0770747 (ARC), EP/C523334/1 (EPSRC)
Conference Paper Type:	Poster
Title of Event:	Seventeenth Annual Computational Neuroscience Meeting: CNS*2008
Type of Event:	Conference
Location of Event:	Portland, USA
Date(s) of Event:	19-24 Jul 2008
References:	1. Brunel N, Nadal J: Mutual information, Fisher information and population coding. Neural Computation 1998, 10:1731-1757. 2. McDonnell MD, Stocks NG: Maximally informative stimuli and tuning curves for sigmoidal rate-coding neurons with quasipoisson variability. Submitted to Physical Review Letters . arXiv:0802.1570v1. 3. Bethge M, Rotermund D, Pawelzik K: Optimal short-term population coding: When Fisher information fails. Neural Computation 2002, 14:2317-2351. 4. Bethge M, Rotermund D, Pawelzik K: Optimal neural rate coding leads to bimodal firing rate distributions. Network: Computation in Neural Systems 2003, 14:303-319.
URI:	http://wrap.warwick.ac.uk/id/eprint/36650

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