Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/52405
Título: New biomimetic neural structures for artificial neural nets
Autores/as: De Blasio, Gabriel 
Moreno-Díaz, Arminda
Moreno Díaz, Roberto Jr. 
Moreno Díaz, Roberto 
Clasificación UNESCO: 1203 Ciencia de los ordenadores
Palabras clave: Computation
Fecha de publicación: 2012
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 13th International Conference on Computer Aided Systems Theory (EUROCAST) 
13th International Conference on Computer Aided Systems Theory, EUROCAST 2011 
Resumen: 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
Fuente: 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
Colección:Actas de congresos
Vista completa

Citas SCOPUSTM   

1
actualizado el 24-mar-2024

Citas de WEB OF SCIENCETM
Citations

1
actualizado el 25-feb-2024

Visitas

87
actualizado el 16-mar-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.