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IJCNN
2006
IEEE
14 years 8 days ago
Backpropagation for Population-Temporal Coded Spiking Neural Networks
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
Benjamin Schrauwen, Jan M. Van Campenhout
IJCNN
2006
IEEE
14 years 9 days ago
An Architecture for Object-based Saccade Generation using a Biologically Inspired Self-organised Retina
— Our paper presents a fully automated computational mechanism for targeting a space-variant retina based on the highlevel visual content of a scene. Our retina’s receptive fie...
Sanjeeva Balasuriya, Paul Siebert
SASO
2007
IEEE
14 years 16 days ago
Novel Mathematics-Inspired Algorithms for Self-Adaptive Peer-to-Peer Computing
This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
Steven Y. Ko, Indranil Gupta, Yookyung Jo
ICIP
1994
IEEE
14 years 7 months ago
A Connectionist Model for Local Speed Estimation
Classical models for motion detection with artificial neural networks are inspired in physiological data of simple visual systems. Local speed estimationis a problem that involves...
Francisco J. Vico, F. J. Garrido, Francisco Sandov...
ESANN
2004
13 years 7 months ago
Computational model of amygdala network supported by neurobiological data
Abstract. The amygdala has repeatedly been involved in the processing of emotional reactions and conditioning. This paper presents a neurobiologically inspired computational model ...
Mélanie Falgairolle, Agnès Gorge, Je...