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Dendritic-Like Reliable Computation in Artificial Neurons

Blasio, Gabriel de and Moreno Díaz, Arminda and Moreno Díaz, Roberto (2011). Dendritic-Like Reliable Computation in Artificial Neurons. In: "13th International Conference on Computer Aided Systems Theory, EUROCAST 2011", 06/02/2011 - 11/02/2011, Las Palmas de Gran Canaria, España.

Description

Title: Dendritic-Like Reliable Computation in Artificial Neurons
Author/s:
  • Blasio, Gabriel de
  • Moreno Díaz, Arminda
  • Moreno Díaz, Roberto
Item Type: Presentation at Congress or Conference (Article)
Event Title: 13th International Conference on Computer Aided Systems Theory, EUROCAST 2011
Event Dates: 06/02/2011 - 11/02/2011
Event Location: Las Palmas de Gran Canaria, España
Title of Book: Actas de la 13th International Conference on Computer Aided Systems Theory, EUROCAST 2011
Date: 2011
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Dendritic computation is a term that has been in neuro physiological research for a long time [1]. It is still controversial and far for been clarified within the concepts of both computation and neurophysiology [2], [3]. In any case, it hasnot been integrated neither in a formal computational scheme or structure, nor into formulations of artificial neural nets. Our objective here is to formulate a type of distributed computation that resembles dendritic trees, in such a way that it shows the advantages of neural network distributed computation, mostly the reliability that is shown under the existence of holes (scotomas) in the computing net, without ?blind spots?.

More information

Item ID: 11823
DC Identifier: https://oa.upm.es/11823/
OAI Identifier: oai:oa.upm.es:11823
Official URL: http://www.iuctc.ulpgc.es/iuctc/
Deposited by: Memoria Investigacion
Deposited on: 16 Oct 2012 12:46
Last Modified: 22 Sep 2014 10:52
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