Literature DB >> 1751420

Mechanisms of early visual processing in the medulla of the locust optic lobe: how self-inhibition, spatial-pooling, and signal rectification contribute to the properties of transient cells.

D Osorio1.   

Abstract

In the arthropod medulla, which is the second ganglion on the afferent visual pathway, a column of about 40 cells represents each point in space (i.e. compound eye facet). Some stages of visual processing underlying the responses of one class of cells in the locust medulla have been identified. These transient cells give very similar responses to intensity increments and decrements, and also to pulses and steps; there is no spontaneous activity and a stimulus causes one or two spikes to fire at fixed latencies. Movement, however, produces a prolonged spike discharge by successive excitation of subunits within the receptive field. One of the main features of the transient cells' responses is a self-inhibition which attenuates responses to successive stimuli at one point. This inhibition is restricted to the outputs of single receptor (rhabdom), it decays after about 100 ms, and is polarity sensitive so that stimuli of one polarity (e.g. dimming) do not inhibit responses to stimuli of the opposite polarity (e.g. brightening). The inhibition effectively alters the contrast threshold of the cells, because after adaptation with stimuli of one contrast, a modest (less than 20%) increase in contrast is sufficient to elicit an unadapted response. Transient cells are not directionally selective and there are no local spatio-temporal interactions of the kind necessary for directional selectivity. But, by analogy with the directional veto in directionally selective cells in the rabbit retina (Barlow & Levick, 1965), self-inhibition is suggested as a mechanism of non-directional motion detection. After the inhibition, there is some spatial pooling of signals which is followed by rectification. The transient cells' spiking outputs could abstract a refined subset of visual information which may encode the presence, but not the direction, amplitude, or polarity of moving object borders.

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Year:  1991        PMID: 1751420     DOI: 10.1017/s0952523800004831

Source DB:  PubMed          Journal:  Vis Neurosci        ISSN: 0952-5238            Impact factor:   3.241


  13 in total

1.  The PM1 neurons, movement sensitive centrifugal visual brain neurons in the locust: anatomy, physiology, and modulation by identified octopaminergic neurons.

Authors:  Michael Stern
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-11-26       Impact factor: 1.836

2.  Fast temporal adaptation of on-off units in the first optic chiasm of the blowfly.

Authors:  N M Jansonius; J H van Hateren
Journal:  J Comp Physiol A       Date:  1991-06       Impact factor: 1.836

3.  Correlation between OFF and ON channels underlies dark target selectivity in an insect visual system.

Authors:  Steven D Wiederman; Patrick A Shoemaker; David C O'Carroll
Journal:  J Neurosci       Date:  2013-08-07       Impact factor: 6.167

4.  Properties of neuronal facilitation that improve target tracking in natural pursuit simulations.

Authors:  Zahra M Bagheri; Steven D Wiederman; Benjamin S Cazzolato; Steven Grainger; David C O'Carroll
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

5.  Characterisation of columnar neurons and visual signal processing in the medulla of the locust optic lobe by system identification techniques.

Authors:  A C James; D Osorio
Journal:  J Comp Physiol A       Date:  1996-02       Impact factor: 1.836

6.  Gain control of synaptic transfer from second- to third-order neurons of cockroach ocelli.

Authors:  M Mizunami
Journal:  J Gen Physiol       Date:  1996-01       Impact factor: 4.086

7.  Feedforward Inhibition Conveys Time-Varying Stimulus Information in a Collision Detection Circuit.

Authors:  Hongxia Wang; Richard B Dewell; Ying Zhu; Fabrizio Gabbiani
Journal:  Curr Biol       Date:  2018-05-10       Impact factor: 10.834

8.  Object-Displacement-Sensitive Visual Neurons Drive Freezing in Drosophila.

Authors:  Ryosuke Tanaka; Damon A Clark
Journal:  Curr Biol       Date:  2020-05-21       Impact factor: 10.834

9.  Robust models for optic flow coding in natural scenes inspired by insect biology.

Authors:  Russell S A Brinkworth; David C O'Carroll
Journal:  PLoS Comput Biol       Date:  2009-11-06       Impact factor: 4.475

10.  A model for the detection of moving targets in visual clutter inspired by insect physiology.

Authors:  Steven D Wiederman; Patrick A Shoemaker; David C O'Carroll
Journal:  PLoS One       Date:  2008-07-30       Impact factor: 3.240

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