Literature DB >> 3716206

Processing of optical information by the visual system of the fly.

W Reichardt.   

Abstract

A detailed understanding of the principles of sensory information processing by the nervous system require investigations with a variety of "model" systems at different levels of complexity. The fly as a model system represents a compromise in the sense that the properties of information processing are taking place in a rather complex nervous system that is amenable to a quantitative analysis at three different levels: at the phenomenological level the overall function of the system, its input-output behaviour, and its logical organization are studied. At the second level, the functional principles of the subsystems, expressed by its algorithmic properties are the object of the analysis. At the third level the investigation focusses on the individual nerve cells and the neuronal circuitry involved in the computations. The approach, reviewed here, deals with an analysis of the visio-motor control system of the fly at the phenomenological level which leads to an algorithmic description of the main subsystems for extraction of motion- and position-information. The analysis at the third level is connected with the investigation of the so called figure-ground and pattern discrimination problem by the visual system of the fly. In this connection the elements of a new movement detector theory are mentioned.

Mesh:

Year:  1986        PMID: 3716206     DOI: 10.1016/0042-6989(86)90075-1

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


  9 in total

1.  Werner Ernst Reichardt Ph.D: founder of modern computational visual neurophysiology and anti-Nazi resistance fighter.

Authors:  J T Flynn
Journal:  Doc Ophthalmol       Date:  1999       Impact factor: 2.379

2.  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

3.  Relationships between the threshold and slope of psychometric and neurometric functions during perceptual learning: implications for neuronal pooling.

Authors:  Joshua I Gold; Chi-Tat Law; Patrick Connolly; Sharath Bennur
Journal:  J Neurophysiol       Date:  2009-10-28       Impact factor: 2.714

4.  Neural models for SUSTAINED and ON-OFF units of insect lamina.

Authors:  H Oğmen; S Gagné
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

5.  Dissociation of first- and second-order motion systems by perceptual learning.

Authors:  Lucia M Vaina; Charles Chubb
Journal:  Atten Percept Psychophys       Date:  2012-07       Impact factor: 2.199

6.  Compensation type algorithms for neural nets: stability and convergence.

Authors:  L J Cromme; I E Dammasch
Journal:  J Math Biol       Date:  1989       Impact factor: 2.259

7.  Visual afferences to flight steering muscles controlling optomotor responses of the fly.

Authors:  M Egelhaaf
Journal:  J Comp Physiol A       Date:  1989-10       Impact factor: 1.836

8.  Activity labeling patterns in the medulla of Drosophila melanogaster caused by motion stimuli.

Authors:  B Bausenwein; K F Fischbach
Journal:  Cell Tissue Res       Date:  1992-10       Impact factor: 5.249

9.  Gaze and Arrows: The Effect of Element Orientation on Apparent Motion is Modulated by Attention.

Authors:  Rossana Actis-Grosso; Paola Ricciardelli
Journal:  Vision (Basel)       Date:  2017-08-22
  9 in total

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