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This article is part of the supplement: Twentieth Annual Computational Neuroscience Meeting: CNS*2011

Open Access Poster presentation

Spike timing jitter is beneficial in neural spike coding - A case of the mammalian MSO sound localization circuit

Petr Marsalek

Author Affiliations

Institute of Pathological Physiology, First Medical Faculty, Charles University of Prague, Czech Republic

BMC Neuroscience 2011, 12(Suppl 1):P193  doi:10.1186/1471-2202-12-S1-P193

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/12/S1/P193


Published:18 July 2011

© 2011 Marsalek; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Poster presentation

Auditory brainstem calculates horizontal direction (azimuth) of sound from the ITD (interaural time delay). Jeffress proposed in 1948 that sound source azimuth is computed by a neural circuit consisting of an array of delay lines [1]. This is the case in birds, but probably not in mammals [2]. We studied how the ITD-s (shorter than typical action potential duration) are processed within a stochastic model of the MSO (medial superior olive), mammalian azimuth decoder circuit [3]. The MSO circuit makes use of its intrinsic noise, yet spike timing precision in the circuit is essential. Therefore a classification of dynamical observables is needed. Most of them can be described as random variables. Introducing noisy, from trial to trial non-repetitive stimulation in binaural cochlear implants sometimes leads to a better performance [4]. Part of it can be attributed to stochastic processing.

We present our current results as a case study showing multitude of roles of (random versus deterministic) spike timing in a neural circuit. In particular, either phenomenological (excitatory-excitatory and excitatory-inhibitory units), or electrophysiological (excitatory and inhibitory synapses) classification of individual elements of the circuit might be abstracted in an explanation stressing the neural computation in the circuit. We study various parameters of the MSO model and their influence on the output of the model. Finally we evaluate the performance of the model using the concept of ideal observer.

Acknowledgements

Supported by research initiatives MSM 0021620806 and MSM 6840770012 by the Ministry of Education, Youth and Sports of the Czech Republic.

References

  1. Jeffress L: A place theory of sound localization.

    J Comp Physiol Psychol 1948, 41:35-39. PubMed Abstract | Publisher Full Text OpenURL

  2. Grothe B: New roles for synaptic inhibition in sound localization.

    Nat Rev Neurosci 2003, 4:540-550. PubMed Abstract | Publisher Full Text OpenURL

  3. Marsalek P, Lansky P: Proposed mechanisms for coincidence detection in the auditory brainstem.

    Biol Cybern 2005, 92:445-451. PubMed Abstract | Publisher Full Text OpenURL

  4. Drapal M, Marsalek P: Stochastic model shows how cochlear implants process azimuth in real auditory space.

    Chinese J Physiol 2010, 53:439-446. OpenURL