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J Neurophysiol 97: 159-177, 2007. First published October 4, 2006; doi:10.1152/jn.00660.2006
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Influence of Electrotonic Structure and Synaptic Mapping on the Receptive Field Properties of a Collision-Detecting Neuron

Simon P. Peron1, Holger G. Krapp2,3 and Fabrizio Gabbiani1,4

1Department of Neuroscience, Baylor College of Medicine, Houston, Texas; 2Department of Zoology, Cambridge University, Cambridge, United Kingdom; 3Department of Bioengineering, Imperial College London, London, United Kingdom; and 4Computational and Applied Mathematics, Rice University, Houston, Texas

Submitted 23 June 2006; accepted in final form 26 September 2006

The lobula giant movement detector (LGMD) is a visual interneuron of Orthopteran insects involved in collision avoidance and escape behavior. The LGMD possesses a large dendritic field thought to receive excitatory, retinotopic projections from the entire compound eye. We investigated whether the LGMD's receptive field for local motion stimuli can be explained by its electrotonic structure and the eye's anisotropic sampling of visual space. Five locust (Schistocerca americana) LGMD neurons were stained and reconstructed. We show that the excitatory dendritic field and eye can be fitted by ellipsoids having similar geometries. A passive compartmental model fit to electrophysiological data was used to demonstrate that the LGMD is not electrotonically compact. We derived a spike rate to membrane potential transform using intracellular recordings under visual stimulation, allowing direct comparison between experimental and simulated receptive field properties. By assuming a retinotopic mapping giving equal weight to each ommatidium and equally spaced synapses, the model reproduced the experimental data along the eye equator, though it failed to reproduce the receptive field along the ventral-dorsal axis. Our results illustrate how interactions between the distribution of synaptic inputs and the electrotonic properties of neurons contribute to shaping their receptive fields.


Address for reprint requests and other correspondence: F. Gabbiani, Dept. of Neuroscience, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (E-mail: gabbiani{at}bcm.edu)




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