Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52405
Title: New biomimetic neural structures for artificial neural nets
Authors: De Blasio, Gabriel 
Moreno-Díaz, Arminda
Moreno Díaz, Roberto Jr. 
Moreno Díaz, Roberto 
UNESCO Clasification: 1203 Ciencia de los ordenadores
Keywords: Computation
Issue Date: 2012
Journal: Lecture Notes in Computer Science 
Conference: 13th International Conference on Computer Aided Systems Theory (EUROCAST) 
13th International Conference on Computer Aided Systems Theory, EUROCAST 2011 
Abstract: The general aim is to formalize known properties of real neurons, formulating them into appropriate mathematical models. These will converge into, hopefully, more powerful neurophysiological founded distributed computation units of artificial neural nets. Redundancy and distributed computation are key factors to be embodied in the corresponding biomimetic structures. We focus in two neurophysiological processes: first, the dendro-dendritic or afferent non linear interactions, prior to the synapses with the cell body. Computational redundancy (and reliability as a consequence) is to be expected. Second, distributed computation, also provoked by a dendritic-like computational structure to generate arbitrary receptive fields weights or profiles, where also, a kind of reliability is expected, result of the distributed nature of the computation.
URI: http://hdl.handle.net/10553/52405
ISBN: 978-3-642-27548-7
ISSN: 0302-9743
DOI: 10.1007/978-3-642-27549-4_4
Source: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6927. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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