Literature DB >> 16964250

Nonlinear, binocular interactions underlying flow field selectivity of a motion-sensitive neuron.

Karl Farrow1, Juergen Haag, Alexander Borst.   

Abstract

Neurons in many species have large receptive fields that are selective for specific optic flow fields. Here, we studied the neural mechanisms underlying flow field selectivity in lobula plate tangential cells (LPTCs) of the blowfly. Among these cells, the H2 cell responds preferentially to visual stimuli approximating rotational optic flow. Through double recordings from H2 and many other LPTCs, we characterized a bidirectional commissural pathway that allows visual information to be shared between the hemispheres. This pathway is mediated by axo-axonal electrical coupling of H2 and the horizontal system equatorial (HSE) cell located in the opposite hemisphere. Using single-cell ablations, we found that this pathway is sufficient to allow H2 to amplify and attenuate dendritic input during binocular visual stimuli. This is accomplished through a modulation of H2's membrane potential by input from the contralateral HSE cell, which scales the firing rate of H2 during visual stimulation but is not sufficient to induce action potentials.

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Mesh:

Year:  2006        PMID: 16964250     DOI: 10.1038/nn1769

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  17 in total

1.  The diversity of lobula plate tangential cells (LPTCs) in the Drosophila motion vision system.

Authors:  Huayi Wei; Ha Young Kyung; Priscilla J Kim; Claude Desplan
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2019-11-11       Impact factor: 1.836

2.  Drosophila fly straight by fixating objects in the face of expanding optic flow.

Authors:  Michael B Reiser; Michael H Dickinson
Journal:  J Exp Biol       Date:  2010-05       Impact factor: 3.312

3.  Flight activity alters velocity tuning of fly motion-sensitive neurons.

Authors:  Sarah Nicola Jung; Alexander Borst; Juergen Haag
Journal:  J Neurosci       Date:  2011-06-22       Impact factor: 6.167

4.  Coding efficiency of fly motion processing is set by firing rate, not firing precision.

Authors:  Deusdedit Lineu Spavieri; Hubert Eichner; Alexander Borst
Journal:  PLoS Comput Biol       Date:  2010-07-22       Impact factor: 4.475

5.  An olfactory circuit increases the fidelity of visual behavior.

Authors:  Dawnis M Chow; Jamie C Theobald; Mark A Frye
Journal:  J Neurosci       Date:  2011-10-19       Impact factor: 6.167

6.  Contributions of the 12 neuron classes in the fly lamina to motion vision.

Authors:  John C Tuthill; Aljoscha Nern; Stephen L Holtz; Gerald M Rubin; Michael B Reiser
Journal:  Neuron       Date:  2013-07-10       Impact factor: 17.173

7.  Neural action fields for optic flow based navigation: a simulation study of the fly lobula plate network.

Authors:  Alexander Borst; Franz Weber
Journal:  PLoS One       Date:  2011-01-31       Impact factor: 3.240

8.  Binocular integration of visual information: a model study on naturalistic optic flow processing.

Authors:  Patrick Hennig; Roland Kern; Martin Egelhaaf
Journal:  Front Neural Circuits       Date:  2011-04-04       Impact factor: 3.492

9.  Binocular interactions underlying the classic optomotor responses of flying flies.

Authors:  Brian J Duistermars; Rachel A Care; Mark A Frye
Journal:  Front Behav Neurosci       Date:  2012-02-23       Impact factor: 3.558

10.  Spatial vision in insects is facilitated by shaping the dynamics of visual input through behavioral action.

Authors:  Martin Egelhaaf; Norbert Boeddeker; Roland Kern; Rafael Kurtz; Jens P Lindemann
Journal:  Front Neural Circuits       Date:  2012-12-20       Impact factor: 3.492

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