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The Journal of Neuroscience, June 30, 2004, 24(26):6037-6047; doi:10.1523/JNEUROSCI.1084-04.2004

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 Previous Article

Behavioral/Systems/Cognitive
Intrinsic and Circuit Properties Favor Coincidence Detection for Decoding Oscillatory Input

Javier Perez-Orive,¹ Maxim Bazhenov,² and Gilles Laurent¹

¹Computation and Neural Systems, Division of Biology, California Institute of Technology, Pasadena, California 91125, and ²The Salk Institute for Biological Studies, Computational Neurobiology Laboratory, La Jolla, California 92037

In the insect olfactory system the antennal lobe generates oscillatory synchronization of its output as a framework for coincidence detection by its target, the mushroom body (MB). The intrinsic neurons of the MB (Kenyon cells, KCs) are thus a good model system in which to investigate the functional relevance of oscillations and neural synchronization. We combine electrophysiological and modeling approaches to examine how intrinsic and circuit properties might contribute to the preference of KCs for coincident input and how their decoding of olfactory information is affected by the absence of oscillatory synchronization in their input. We show that voltage-dependent subthreshold properties of KCs bring about a supralinear summation of their inputs, favoring responses to coincident EPSPs. Abolishing oscillatory synchronization weakens the preference of KCs for coincident input and causes a large reduction in their odor specificity. Finally, we find that a decoding strategy that is based on coincidence detection enhances both noise tolerance and input discriminability by KCs.

Key words: mushroom body; Kenyon cell; coincidence detection; oscillations; synchrony; coding

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Received March 24, 2004; revised May 18, 2004; accepted May 18, 2004.

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