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ESANN
2006
15 years 8 months ago
Saliency extraction with a distributed spiking neural network
We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
Sylvain Chevallier, Philippe Tarroux, Hél&e...
NPL
2002
145views more  NPL 2002»
15 years 6 months ago
Hybrid Feedforward Neural Networks for Solving Classification Problems
A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in or...
Iulian B. Ciocoiu
JCNS
1998
134views more  JCNS 1998»
15 years 6 months ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez
ICAISC
2010
Springer
15 years 11 months ago
Persistent Activation Blobs in Spiking Neural Networks with Mexican Hat Connectivity
Abstract. Short range excitation, long range inhibition sometimes referred to as mexican hat connectivity seems to play important role in organization of the cortex, leading to fai...
Filip Piekniewski
IJON
2007
85views more  IJON 2007»
15 years 6 months ago
Desynchronized stable states in diluted neural networks
The dynamical properties of a diluted fully inhibitory network of pulse-coupled neurons are investigated. Depending on the coupling strength, two different phases can be observed....
Rüdiger Zillmer, Roberto Livi, Antonio Politi...