ICONIP
2004
13 years 5 months ago
2004
We studied the dynamics of a neural network which have both of recurrent excitatory and random inhibitory connections. Neurons started to become active when a relatively weak trans...
ESANN
2006
13 years 6 months ago
2006
In this paper we demonstrate the generalization property of spiking neurons trained with ReSuMe method. We show in a set of experiments that the learning neuron can approximate the...
ESANN
2008
13 years 6 months ago
2008
We propose a digital neuron model suitable for evolving and growing heterogeneous spiking neural networks on FPGAs using a piecewise linear approximation of the Quadratic Integrate...
PPSN
2004
Springer
13 years 10 months ago
2004
Springer
Different credit assignment strategies are investigated in a two level co-evolutionary model which involves a population of Gaussian neurons and a population of radial basis funct...
ICCS
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Invertebrate nervous systems serve as important models for neuroscience research because they are comprised of relatively small numbers of individually identified neurons...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— The present paper is devoted to the exploration of the properties of the simple spiking neuron model and quantification of the information transfer rate, which the separate neu...
ICANN
2007
Springer
13 years 10 months ago
2007
Springer
Neurotransmitter fields differ from neural fields in the underlying principle that the state variables are not the neuron action potentials, but the chemical concentration of neuro...
IJCNN
2007
IEEE
13 years 10 months ago
2007
IEEE
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...