Literature DB >> 9236213

Dendritic computation of direction selectivity and gain control in visual interneurons.

S Single1, J Haag, A Borst.   

Abstract

The extraction of motion information from time varying retinal images is a fundamental task of visual systems. Accordingly, neurons that selectively respond to visual motion are found in almost all species investigated so far. Despite its general importance, the cellular mechanisms underlying direction selectivity are not yet understood in most systems. Blocking inhibitory input to fly visual interneurons by picrotoxinin (PTX), we demonstrate that their direction selectivity arises largely from interactions between postsynaptic signals elicited by excitatory and inhibitory input elements, which are themselves only weakly tuned to opposite directions of motion. Their joint activation by preferred as well as null direction motion leads to a mixed reversal potential at which the postsynaptic response settles for large field stimuli. Assuming the activation ratio of these opponent inputs to be a function of pattern velocity can explain how the postsynaptic membrane potential saturates with increasing pattern size at different levels for different pattern velocities ("gain control"). Accordingly, we find that after blocking the inhibitory input by PTX, gain control is abolished.

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Year:  1997        PMID: 9236213      PMCID: PMC6568333     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  20 in total

1.  Direction selectivity of blowfly motion-sensitive neurons is computed in a two-stage process.

Authors:  A Borst; M Egelhaaf
Journal:  Proc Natl Acad Sci U S A       Date:  1990-12       Impact factor: 11.205

2.  In vivo imaging of calcium accumulation in fly interneurons as elicited by visual motion stimulation.

Authors:  A Borst; M Egelhaaf
Journal:  Proc Natl Acad Sci U S A       Date:  1992-05-01       Impact factor: 11.205

3.  Neuronal basis for parallel visual processing in the fly.

Authors:  N J Strausfeld; J K Lee
Journal:  Vis Neurosci       Date:  1991 Jul-Aug       Impact factor: 3.241

4.  Visual motion detection circuits in flies: peripheral motion computation by identified small-field retinotopic neurons.

Authors:  J K Douglass; N J Strausfeld
Journal:  J Neurosci       Date:  1995-08       Impact factor: 6.167

5.  Inhibitory processes underlying the directional specificity of simple, complex and hypercomplex cells in the cat's visual cortex.

Authors:  A M Sillito
Journal:  J Physiol       Date:  1977-10       Impact factor: 5.182

Review 6.  Principles of visual motion detection.

Authors:  A Borst; M Egelhaaf
Journal:  Trends Neurosci       Date:  1989-08       Impact factor: 13.837

7.  Cholinergic and GABAergic receptors on fly tangential cells and their role in visual motion detection.

Authors:  T M Brotz; A Borst
Journal:  J Neurophysiol       Date:  1996-09       Impact factor: 2.714

8.  Mechanisms of dendritic integration underlying gain control in fly motion-sensitive interneurons.

Authors:  A Borst; M Egelhaaf; J Haag
Journal:  J Comput Neurosci       Date:  1995-03       Impact factor: 1.621

9.  Mechanisms underlying direction selectivity of neurons in the primary visual cortex of the macaque.

Authors:  H Sato; N Katsuyama; H Tamura; Y Hata; T Tsumoto
Journal:  J Neurophysiol       Date:  1995-10       Impact factor: 2.714

10.  The response of area MT and V1 neurons to transparent motion.

Authors:  R J Snowden; S Treue; R G Erickson; R A Andersen
Journal:  J Neurosci       Date:  1991-09       Impact factor: 6.167

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  26 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.  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 3.  Visually guided orientation in flies: case studies in computational neuroethology.

Authors:  M Egelhaaf; N Böddeker; R Kern; J Kretzberg; J P Lindemann; A-K Warzecha
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-05-15       Impact factor: 1.836

4.  Gain control of firing rate by shunting inhibition: roles of synaptic noise and dendritic saturation.

Authors:  Steven A Prescott; Yves De Koninck
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-04       Impact factor: 11.205

5.  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

6.  Logarithmic compression of sensory signals within the dendritic tree of a collision-sensitive neuron.

Authors:  Peter W Jones; Fabrizio Gabbiani
Journal:  J Neurosci       Date:  2012-04-04       Impact factor: 6.167

7.  Adaptation without parameter change: Dynamic gain control in motion detection.

Authors:  Alexander Borst; Virginia L Flanagin; Haim Sompolinsky
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-15       Impact factor: 11.205

8.  Time-dependent activation of feed-forward inhibition in a looming-sensitive neuron.

Authors:  Fabrizio Gabbiani; Ivan Cohen; Gilles Laurent
Journal:  J Neurophysiol       Date:  2005-05-31       Impact factor: 2.714

9.  Influence of electrotonic structure and synaptic mapping on the receptive field properties of a collision-detecting neuron.

Authors:  Simon P Peron; Holger G Krapp; Fabrizio Gabbiani
Journal:  J Neurophysiol       Date:  2006-10-04       Impact factor: 2.714

10.  Precise subcellular input retinotopy and its computational consequences in an identified visual interneuron.

Authors:  Simon P Peron; Peter W Jones; Fabrizio Gabbiani
Journal:  Neuron       Date:  2009-09-24       Impact factor: 17.173

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