Literature DB >> 12726836

Adaptation of response transients in fly motion vision. II: Model studies.

Alexander Borst1, Carolina Reisenman, Juergen Haag.   

Abstract

The so-called 'Reichardt detector' can successfully account for many properties of fly motion vision. In its simplest form, the signals derived from neighboring image locations become multiplied after a low-pass filter has delayed one of them. This operation is done twice in a mirror-symmetrical form and the resulting output signals become finally subtracted. As predicted by this model, fly neurons respond to a brief motion pulse with a sudden rise in activity followed by an exponential decay. The time constant of this decay has been shown to shorten when tested after presentation of an adapting motion stimulus. In terms of the detector model this inevitably implies that the time constant of the low-pass filter is adapting. Given that, one would expect a concomitant shift of the steady-state response towards higher velocities, which, however, could not be experimentally verified. Here, we show that given a model with an additional temporal high-pass filter in the cross-arms of the detector, only the high-pass filter determines the time course of the impulse response. Assuming consequently that the time constant of the high-pass filter is the locus of adaptation resolves the conflicts mentioned above. Moreover, such an elaborated model with an adaptive time-constant faithfully mimics a particular contrast-dependency of transient response oscillations observed in fly motion sensitive neurons.

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Year:  2003        PMID: 12726836     DOI: 10.1016/s0042-6989(03)00092-0

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  26 in total

1.  Frequency-selective transmission of graded signals in large monopolar neurons of blowfly Calliphora vicina compound eye.

Authors:  Juha Rusanen; Matti Weckström
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

2.  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

3.  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

4.  Propagation of photon noise and information transfer in visual motion detection.

Authors:  Lei Shi; Alexander Borst
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

5.  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

6.  Adaptation accentuates responses of fly motion-sensitive visual neurons to sudden stimulus changes.

Authors:  Rafael Kurtz; Martin Egelhaaf; Hanno Gerd Meyer; Roland Kern
Journal:  Proc Biol Sci       Date:  2009-08-05       Impact factor: 5.349

7.  Near-optimal decoding of transient stimuli from coupled neuronal subpopulations.

Authors:  James Trousdale; Samuel R Carroll; Fabrizio Gabbiani; Krešimir Josić
Journal:  J Neurosci       Date:  2014-09-03       Impact factor: 6.167

8.  Fly eyes are not still: a motion illusion in Drosophila flight supports parallel visual processing.

Authors:  Wael Salem; Benjamin Cellini; Mark A Frye; Jean-Michel Mongeau
Journal:  J Exp Biol       Date:  2020-05-28       Impact factor: 3.312

9.  GABAergic lateral interactions tune the early stages of visual processing in Drosophila.

Authors:  Limor Freifeld; Damon A Clark; Mark J Schnitzer; Mark A Horowitz; Thomas R Clandinin
Journal:  Neuron       Date:  2013-06-19       Impact factor: 17.173

10.  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

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