Literature DB >> 8521280

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

A Borst1, M Egelhaaf, J Haag.   

Abstract

In the compensatory optomotor response of the fly the interesting phenomenon of gain control has been observed by Reichardt and colleagues (Reichardt et al., 1983): The amplitude of the response tends to saturate with increasing stimulus size, but different saturation plateaus are assumed with different velocities at which the stimulus is moving. This characteristic can already be found in the motion-sensitive large field neurons of the fly optic lobes that play a role in mediating this behavioral response (Hausen, 1982; Reichardt et al., 1983; Egelhaaf, 1985; Haag et al., 1992). To account for gain control a model was proposed involving shunting inhibition of these cells by another cell, the so-called pool cell (Reichardt et al., 1983), both cells sharing common input from an array of local motion detectors. This article describes an alternative model which only requires dendritic integration of the output signals of two types of local motion detectors with opposite polarity. The explanation of gain control relies on recent findings that these input elements are not perfectly directionally selective and that their direction selectivity is a function of pattern velocity. As a consequence, the resulting postsynaptic potential in the dendrite of the integrating cell saturates with increasing pattern size at a level between the excitatory and inhibitory reversal potentials. The exact value of saturation is then set by the activation ratio of excitatory and inhibitory input elements which in turn is a function of other stimulus parameters such as pattern velocity. Thus, the apparently complex phenomenon of gain control can be simply explained by the biophysics of dendritic integration in conjunction with the properties of the motion-sensitive input elements.

Mesh:

Year:  1995        PMID: 8521280     DOI: 10.1007/bf00962705

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  16 in total

1.  Dendritic integration of motion information in visual interneurons of the blowfly.

Authors:  J Haag; M Egelhaaf; A Borst
Journal:  Neurosci Lett       Date:  1992-06-22       Impact factor: 3.046

2.  Neural circuits mediating visual flight control in flies. II. Separation of two control systems by microsurgical brain lesions.

Authors:  K Hausen; C Wehrhahn
Journal:  J Neurosci       Date:  1990-01       Impact factor: 6.167

Review 3.  Principles of visual motion detection.

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

4.  Computational structure of a biological motion-detection system as revealed by local detector analysis in the fly's nervous system.

Authors:  M Egelhaaf; A Borst; W Reichardt
Journal:  J Opt Soc Am A       Date:  1989-07       Impact factor: 2.129

5.  Transient and steady-state response properties of movement detectors.

Authors:  M Egelhaaf; A Borst
Journal:  J Opt Soc Am A       Date:  1989-01       Impact factor: 2.129

Review 6.  Principles of optomotor reactions in insects.

Authors:  K G Götz
Journal:  Bibl Ophthalmol       Date:  1972

7.  The synaptic organization of visual interneurons in the lobula complex of flies. A light and electron microscopical study using silver-intensified cobalt-impregnations.

Authors:  K Hausen; W Wolburg-Buchholz; W A Ribi
Journal:  Cell Tissue Res       Date:  1980       Impact factor: 5.249

8.  A dendritic gain control mechanism in axonless neurons of the locust, Schistocerca americana.

Authors:  G Laurent
Journal:  J Physiol       Date:  1993-10       Impact factor: 5.182

9.  Visual orientation behaviour of flies after selective laser beam ablation of interneurones.

Authors:  G Geiger; D R Nässel
Journal:  Nature       Date:  1981-10-01       Impact factor: 49.962

10.  The role of GABA in detecting visual motion.

Authors:  M Egelhaaf; A Borst; B Pilz
Journal:  Brain Res       Date:  1990-02-12       Impact factor: 3.252

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  31 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.  Supralinear summation of synaptic inputs by an invertebrate neuron: dendritic gain is mediated by an "inward rectifier" K(+) current.

Authors:  R Wessel; W B Kristan; D Kleinfeld
Journal:  J Neurosci       Date:  1999-07-15       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.  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

5.  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

6.  Responses of blowfly motion-sensitive neurons to reconstructed optic flow along outdoor flight paths.

Authors:  N Boeddeker; J P Lindemann; M Egelhaaf; J Zeil
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2005-08-23       Impact factor: 1.836

7.  On the computations analyzing natural optic flow: quantitative model analysis of the blowfly motion vision pathway.

Authors:  J P Lindemann; R Kern; J H van Hateren; H Ritter; M Egelhaaf
Journal:  J Neurosci       Date:  2005-07-06       Impact factor: 6.167

8.  Robust coding of flow-field parameters by axo-axonal gap junctions between fly visual interneurons.

Authors:  Hermann Cuntz; Juergen Haag; Friedrich Forstner; Idan Segev; Alexander Borst
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-05       Impact factor: 11.205

9.  Different receptive fields in axons and dendrites underlie robust coding in motion-sensitive neurons.

Authors:  Yishai M Elyada; Juergen Haag; Alexander Borst
Journal:  Nat Neurosci       Date:  2009-02-08       Impact factor: 24.884

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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