Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/73196
Title: An invariant representation mechanism after presynaptic inhibition
Authors: Moreno-Díaz, Roberto 
Bolívar Toledo, Olga
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 1993
Journal: Lecture Notes in Computer Science 
Conference: International Workshop on Artificial Neural Networks, IWANN 1993 
Abstract: The search for mechanisms that allow invariant neuronal representations has been always of great interest since the achievement of invariances still is, at different levels, an open question in the theory of neuronal function. In this paper we present the formulation of a theoretical mechanism for visual representation which is invariant against general changes of light intensity. The model, which is an example of the interaction among Cybernetics, Systems Theory and Artificial Perception Systems, takes into account the different kinds of operations that so far have been described in different cells of the visual pathway and the biologic architecture that is necessary to perform them together with the necessary connections among processors. Structural basis of this schema in natural systems are found in Lateral geniculate Body. Finally, we include an example on Image Processing and a discussion on the conditions in which the model can be of practical use.
URI: http://hdl.handle.net/10553/73196
ISBN: 978-3-540-56798-1
ISSN: 0302-9743
DOI: 10.1007/3-540-56798-4_120
Source: Mira J., Cabestany J., Prieto A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, [ISSN 0302-9743], v. 686, p. 30-36. Springer, Berlin, Heidelberg. (Enero 1993)
Appears in Collections:Actas de congresos
Show full item record

Page view(s)

25
checked on Sep 18, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.