English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Intrinsic and circuit properties favor coincidence detection for decoding oscillatory input

MPS-Authors
/persons/resource/persons208073

Laurent,  Gilles
Neural systems Department, Max Planck Institute for Brain Research, Max Planck Society;

External Ressource
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Perez-Orive, J., Bazhenov, M., & Laurent, G. (2004). Intrinsic and circuit properties favor coincidence detection for decoding oscillatory input. J Neurosci, 24(26), 6037-47. doi:10.1523/JNEUROSCI.1084-04.2004.


Cite as: http://hdl.handle.net/21.11116/0000-0008-07C8-F
Abstract
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.