Literature DB >> 12726835

Adaptation of response transients in fly motion vision. I: Experiments.

C Reisenman1, J Haag, A Borst.   

Abstract

Two types of transient responses have been investigated in fly motion-sensitive neurons in the past: the impulse and the step response. In response to a brief motion pulse, cells show a sudden rise in activity followed by an exponential decay ('impulse response'). In response to the onset of a constant velocity stimulus, cells exhibit transient oscillations before settling to a steady-state value ('step response'). Since the impulse response has been shown to shorten when tested after presentation of an adapting motion stimulus, we investigated whether adaptation also occurs during the step response. We tested this hypothesis by recording extracellularly the response of the H1-cell in the lobula plate of the blowfly Calliphora vicina to gratings of varying pattern contrasts and drift velocity. We found that the transient oscillations of the step response strongly depend on the pattern contrast: at low contrasts, oscillations lasted for several seconds, whereas at high contrasts, they settled within fractions of a second. This suggests that motion adaptation occurs during the initial period of the stimulus presentation and is dependent on the contrast of the motion stimulus. Using identical stimulus parameters (contrast and temporal frequency) for the adapting stimulus and testing the impulse response afterwards, we found that the impulse response and the transient period in the step response shortened in a similar way. We then analyzed the dynamic of the transients oscillations produced by ongoing motion of a square wave pattern in the anti-preferred direction (null direction) of H1. As observed for preferred direction motion, we found that the duration and amplitude of those transients shortened as the contrast and the velocity of the pattern increased, and that the oscillations disappeared when a blank screen instead of a pattern was presented before the onset of motion. Under both stimulus conditions, i.e. grating and blank screen before motion onset, the steady-state response level showed the same dependence on the contrast and temporal frequency of the pattern. When we analyzed the responses of the cell to pattern of various sizes and contrasts moving in the preferred direction of the cell, we found that increments in the size affected the overall amplitude of both the transient oscillations and the steady-state response level, whereas the duration of the oscillations only depended on the local pattern contrast. We also tested the impulse response before and after the presentation of an adapting stimulus presented in either the same or a different location of the visual field. The response shortened only when both the adapting and the test stimuli were presented at the same location. These last experiments demonstrate a strictly local mechanism of adaptation affecting the response transients of both the impulse and the step response.

Entities:  

Mesh:

Year:  2003        PMID: 12726835     DOI: 10.1016/s0042-6989(03)00091-9

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


  15 in total

1.  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

2.  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

3.  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

4.  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

5.  Octopaminergic modulation of temporal frequency coding in an identified optic flow-processing interneuron.

Authors:  Kit D Longden; Holger G Krapp
Journal:  Front Syst Neurosci       Date:  2010-11-23

6.  Insect-Inspired Self-Motion Estimation with Dense Flow Fields--An Adaptive Matched Filter Approach.

Authors:  Simon Strübbe; Wolfgang Stürzl; Martin Egelhaaf
Journal:  PLoS One       Date:  2015-08-26       Impact factor: 3.240

7.  Closed-loop response properties of a visual interneuron involved in fly optomotor control.

Authors:  Naveed Ejaz; Holger G Krapp; Reiko J Tanaka
Journal:  Front Neural Circuits       Date:  2013-03-27       Impact factor: 3.492

8.  Pattern-dependent response modulations in motion-sensitive visual interneurons--a model study.

Authors:  Hanno Gerd Meyer; Jens Peter Lindemann; Martin Egelhaaf
Journal:  PLoS One       Date:  2011-07-08       Impact factor: 3.240

9.  Function of a fly motion-sensitive neuron matches eye movements during free flight.

Authors:  Roland Kern; J H van Hateren; Christian Michaelis; Jens Peter Lindemann; Martin Egelhaaf
Journal:  PLoS Biol       Date:  2005-05-17       Impact factor: 8.029

10.  The motion after-effect: local and global contributions to contrast sensitivity.

Authors:  Karin Nordström; David C O'Carroll
Journal:  Proc Biol Sci       Date:  2009-02-25       Impact factor: 5.349

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