Literature DB >> 12720032

Orientation tuning of motion-sensitive neurons shaped by vertical-horizontal network interactions.

J Haag1, A Borst.   

Abstract

We measured the orientation tuning of two neurons of the fly lobula plate (H1 and H2 cells) sensitive to horizontal image motion. Our results show that H1 and H2 cells are sensitive to vertical motion, too. Their response depended on the position of the vertically moving stimuli within their receptive field. Stimulation within the frontal receptive field produced an asymmetric response: upward motion left the H1/H2 spike frequency nearly unaltered while downward motion increased the spike frequency to about 40% of their maximum responses to horizontal motion. In the lateral parts of their receptive fields, no such asymmetry in the responses to vertical image motion was found. Since downward motion is known to be the preferred direction of neurons of the vertical system in the lobula plate, we analyzed possible interactions between vertical system cells and H1 and H2 cells. Depolarizing current injection into the most frontal vertical system cell (VS1) led to an increased spike frequency, hyperpolarizing current injection to a decreased spike frequency in both H1 and H2 cells. Apart from VS1, no other vertical system cell (VS2-8) had any detectable influence on either H1 or H2 cells. The connectivity of VS1 and H1/H2 is also shown to influence the response properties of both centrifugal horizontal cells in the contralateral lobula plate, which are known to be postsynaptic to the H1 and H2 cells. The vCH cell receives additional input from the contralateral VS2-3 cells via the spiking interneuron V1.

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Mesh:

Year:  2003        PMID: 12720032     DOI: 10.1007/s00359-003-0410-6

Source DB:  PubMed          Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol        ISSN: 0340-7594            Impact factor:   1.836


  12 in total

1.  The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: III. Visual response properties.

Authors:  J Haag; A Vermeulen; A Borst
Journal:  J Comput Neurosci       Date:  1999 Nov-Dec       Impact factor: 1.621

2.  Dendritic calcium accumulation associated with direction-selective adaptation in visual motion-sensitive neurons in vivo.

Authors:  R Kurtz; V Dürr; M Egelhaaf
Journal:  J Neurophysiol       Date:  2000-10       Impact factor: 2.714

3.  Synaptic interactions increase optic flow specificity.

Authors:  W Horstmann; M Egelhaaf; A K Warzecha
Journal:  Eur J Neurosci       Date:  2000-06       Impact factor: 3.386

4.  Recurrent network interactions underlying flow-field selectivity of visual interneurons.

Authors:  J Haag; A Borst
Journal:  J Neurosci       Date:  2001-08-01       Impact factor: 6.167

Review 5.  Neural networks in the cockpit of the fly.

Authors:  A Borst; J Haag
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2002-06-07       Impact factor: 1.836

6.  Binocular contributions to optic flow processing in the fly visual system.

Authors:  H G Krapp; R Hengstenberg; M Egelhaaf
Journal:  J Neurophysiol       Date:  2001-02       Impact factor: 2.714

7.  Estimation of self-motion by optic flow processing in single visual interneurons.

Authors:  H G Krapp; R Hengstenberg
Journal:  Nature       Date:  1996-12-05       Impact factor: 49.962

8.  Synapse distribution on VCH, an inhibitory, motion-sensitive interneuron in the fly visual system.

Authors:  V Gauck; M Egelhaaf; A Borst
Journal:  J Comp Neurol       Date:  1997-05-19       Impact factor: 3.215

9.  Directional tuning curves, elementary movement detectors, and the estimation of the direction of visual movement.

Authors:  J H van Hateren
Journal:  Vision Res       Date:  1990       Impact factor: 1.886

10.  Neural circuit tuning fly visual interneurons to motion of small objects. I. Dissection of the circuit by pharmacological and photoinactivation techniques.

Authors:  A K Warzecha; M Egelhaaf; A Borst
Journal:  J Neurophysiol       Date:  1993-02       Impact factor: 2.714

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  13 in total

Review 1.  Large-scale automated histology in the pursuit of connectomes.

Authors:  David Kleinfeld; Arjun Bharioke; Pablo Blinder; Davi D Bock; Kevin L Briggman; Dmitri B Chklovskii; Winfried Denk; Moritz Helmstaedter; John P Kaufhold; Wei-Chung Allen Lee; Hanno S Meyer; Kristina D Micheva; Marcel Oberlaender; Steffen Prohaska; R Clay Reid; Stephen J Smith; Shinya Takemura; Philbert S Tsai; Bert Sakmann
Journal:  J Neurosci       Date:  2011-11-09       Impact factor: 6.167

2.  Input organization of multifunctional motion-sensitive neurons in the blowfly.

Authors:  Karl Farrow; Juergen Haag; Alexander Borst
Journal:  J Neurosci       Date:  2003-10-29       Impact factor: 6.167

3.  Disentangling the functional consequences of the connectivity between optic-flow processing neurons.

Authors:  Franz Weber; Christian K Machens; Alexander Borst
Journal:  Nat Neurosci       Date:  2012-02-12       Impact factor: 24.884

4.  Dye-coupling visualizes networks of large-field motion-sensitive neurons in the fly.

Authors:  Juergen Haag; Alexander Borst
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2005-03-18       Impact factor: 1.836

5.  Localized direction selective responses in the dendrites of visual interneurons of the fly.

Authors:  Christian Spalthoff; Martin Egelhaaf; Philip Tinnefeld; Rafael Kurtz
Journal:  BMC Biol       Date:  2010-04-12       Impact factor: 7.431

6.  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

7.  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

8.  Identifying functional connections of the inner photoreceptors in Drosophila using Tango-Trace.

Authors:  Smitha Jagadish; Gilad Barnea; Thomas R Clandinin; Richard Axel
Journal:  Neuron       Date:  2014-07-18       Impact factor: 17.173

9.  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

10.  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

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