Characteristics of neuronal systems in the visual cortex

The coupling complexity of cortical areas makes it very difficult to analyse them experimentally. Studies of model systems provide the possibility of adapting the analysis to the available data base and elaborating the fundamental properties that depend on the structure of the system. We propose a m...

Full description

Saved in:
Bibliographic Details
Published in:Biological cybernetics 1987-01, Vol.56 (1), p.37-49
Main Authors: VON SEELEN, W, MALLOT, H. A, GIANNAKOPOULOS, F
Format: Article
Language:English
Subjects:
Animals
Biological and medical sciences
Eye and associated structures. Visual pathways and centers. Vision
Fundamental and applied biological sciences. Psychology
Mathematics
Models, Neurological
Neurons - physiology
Retina - physiology
Vertebrates: nervous system and sense organs
Vision, Ocular
Visual Cortex - physiology
Visual Perception
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The coupling complexity of cortical areas makes it very difficult to analyse them experimentally. Studies of model systems provide the possibility of adapting the analysis to the available data base and elaborating the fundamental properties that depend on the structure of the system. We propose a model system of variable complexity that is spatially two-dimensional and time-dependent, uses feedback for iteration and smoothing, includes the mapping of the cortical networks and can be nonlinear as the case requires. Combining such elementary systems on the basis of neuroanatomical findings enables us to simulate cortical mappings and to interpret neurophysiological data. The decisive factor is that the dynamics of the system and the neuroanatomically based spatial coupling are closely connected with each other.
ISSN:0340-1200
1432-0770
DOI:10.1007/BF00333066