Literature DB >> 9356415

Independent coding of wind direction in cockroach giant interneurons.

A Mizrahi1, F Libersat.   

Abstract

Independent coding of wind direction in cockroach giant interneurons. J. Neurophysiol. 78: 2655-2661, 1997. In this study we examined the possible role of cell-to-cell interactions in the localization processing of a wind stimulus by the cockroach cercal system. Such sensory processing is performed primarily by pairs of giant interneurons (GIs), a group of highly directional cells. We have studied possible interactions among these GIs by comparing the wind sensitivity of a given GI before and after removing another GI with the use of photoablation. Testing various combinations of GI pairs did not reveal any suprathreshold interactions. This was true for all unilateral GI pairs on the left or right side as well as all the bilateral GI pairs (left and right homologues). Those experiments in which we were able to measure synaptic activity did not reveal subthreshold interactions between the GIs either. We conclude that the GIs code independently for a given wind direction without local GI-GI interactions. We discuss the possible implications of the absence of local interactions on information transfer in the first station of the escape circuit.

Mesh:

Year:  1997        PMID: 9356415     DOI: 10.1152/jn.1997.78.5.2655

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  4 in total

1.  Wind direction coding in the cockroach escape response: winner does not take all.

Authors:  R Levi; J M Camhi
Journal:  J Neurosci       Date:  2000-05-15       Impact factor: 6.167

2.  Population vector coding by the giant interneurons of the cockroach.

Authors:  R Levi; J M Camhi
Journal:  J Neurosci       Date:  2000-05-15       Impact factor: 6.167

3.  Synaptic reorganization induced by selective photoablation of an identified neuron.

Authors:  A Mizrahi; F Libersat
Journal:  J Neurosci       Date:  2001-12-01       Impact factor: 6.167

4.  Optimal compensation for neuron loss.

Authors:  David Gt Barrett; Sophie Denève; Christian K Machens
Journal:  Elife       Date:  2016-12-09       Impact factor: 8.140

  4 in total

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