Literature DB >> 3128032

Mathematical model and simulation of retina and tectum opticum of lower vertebrates.

U an der Heiden1, G Roth.   

Abstract

The processing of information within the retino-tectal visual system of amphibians is decomposed into five major operational stages, three of them taking place in the retina and two in the optic tectum. The stages in the retina involve (i) a spatially local high-pass filtering in connection to the perception of moving objects, (ii) separation of the receptor activity into ON- and OFF-channels regarding the distinction of objects on both light and dark backgrounds, (iii) spatial integration via near excitation and far-reaching inhibition. Variation of the spatial range of excitation and inhibition allows to account for typical activities observed in a variety of classes of retina ganglion cells. Mathematical description of the operations in the tectum opticum include (i) spatial summation of retinal output (mainly of class-2 and class-3 retina ganglion cells), and (ii) direct or indirect lateral inhibition between tectal cells. In the computer simulation, first the output of the mathematical retina model is computed which, then, is used as the input to the tectum model. The full spatio-temporal dynamics is taken into account. The simulations show that different combinations of strength of lateral inhibition on the one side and the response properties of the retina ganglion cells on the other side determine the response properties of tectal cell types involved in object recognition.

Mesh:

Year:  1987        PMID: 3128032     DOI: 10.1007/bf00052064

Source DB:  PubMed          Journal:  Acta Biotheor        ISSN: 0001-5342            Impact factor:   1.774


  12 in total

1.  Variability in ganglion cell firing patterns; implications for separate "on" and "off" processes.

Authors:  M W Levine; J M Shefner
Journal:  Vision Res       Date:  1977       Impact factor: 1.886

2.  Two visual systems in the frog.

Authors:  D Ingle
Journal:  Science       Date:  1973-09-14       Impact factor: 47.728

3.  [Neurobiology and system theory of a visual pattern recognition mechanism in the toad].

Authors:  J P Ewert; W von Seelen
Journal:  Kybernetik       Date:  1974-03-13

4.  Responses of retinal and tectal neurons of the salamander (salamandra salamandra L.) to moving visual stimuli.

Authors:  U Grüsser-Cornehls; W Himstedt
Journal:  Brain Behav Evol       Date:  1973       Impact factor: 1.808

5.  Movement-sensitive neurones in the toad's retina.

Authors:  J P Ewert; F Hock
Journal:  Exp Brain Res       Date:  1972       Impact factor: 1.972

6.  Further studies on the velocity function of movement detecting class-2 neurons in the frog retina.

Authors:  O J Grüsser; U Grüsser-Cornehls; M D Licker
Journal:  Vision Res       Date:  1968-09       Impact factor: 1.886

7.  Response characteristics and stratification of tectal neurons in the toad Bufo bufo (L.).

Authors:  G Roth; M Jordan
Journal:  Exp Brain Res       Date:  1982       Impact factor: 1.972

8.  A neural model of interactions subserving prey-predator discrimination and size preference in anuran amphibia.

Authors:  F Cervantes-Pérez; R Lara; M Arbib
Journal:  J Theor Biol       Date:  1985-03-07       Impact factor: 2.691

9.  Monocular and binocular optic inputs to salamander pretectal neurons: intracellular recording and HRP labelling study.

Authors:  G Manteuffel
Journal:  Brain Behav Evol       Date:  1985       Impact factor: 1.808

10.  Responses in the optic tectum of the salamander Hydromantes italicus to moving prey stimuli.

Authors:  G Roth
Journal:  Exp Brain Res       Date:  1982       Impact factor: 1.972

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  5 in total

1.  How does the toad's visual system discriminate different worm-like stimuli?

Authors:  D L Wang; M A Arbib
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

2.  A model of anuran retina relating interneurons to ganglion cell responses.

Authors:  J L Teeters; M A Arbib
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

3.  How neural interactions form neural responses in the salamander retina.

Authors:  J Teeters; A Jacobs; F Werblin
Journal:  J Comput Neurosci       Date:  1997-01       Impact factor: 1.621

4.  A model of the saccadic sensorimotor system of salamanders.

Authors:  G Manteuffel; G Roth
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

Review 5.  What the salamander eye has been telling the vision scientist's brain.

Authors:  Fernando Rozenblit; Tim Gollisch
Journal:  Semin Cell Dev Biol       Date:  2020-04-29       Impact factor: 7.727

  5 in total

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