167 search results - page 4 / 34 » Modeling self-developing biological neural networks |
IJCNN
2007
IEEE
14 years 4 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 ...
ICIC
2007
Springer
14 years 3 months ago
2007
Springer
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
ICANN
2005
Springer
14 years 3 months ago
2005
Springer
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
IJCNN
2000
IEEE
14 years 2 months ago
2000
IEEE
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
NPL
2002
13 years 9 months ago
2002
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...