Sciweavers

ICONIP
2004
14 years 25 days ago
A Neural Network Model for Trace Conditioning
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...
Tadashi Yamazaki, Shigeru Tanaka
ESANN
2006
14 years 25 days ago
Generalization properties of spiking neurons trained with ReSuMe method
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...
Filip Ponulak, Andrzej J. Kasinski
ESANN
2008
14 years 27 days ago
An FPGA-based model suitable for evolution and development of spiking neural networks
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...
Hooman Shayani, Peter J. Bentley, Andrew M. Tyrrel...
PPSN
2004
Springer
14 years 4 months ago
Credit Assignment Among Neurons in Co-evolving Populations
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...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff
ICCS
2005
Springer
14 years 5 months ago
A 3D User Interface for Visualizing Neuron Location in Invertebrate Ganglia
Abstract. Invertebrate nervous systems serve as important models for neuroscience research because they are comprised of relatively small numbers of individually identified neurons...
Jason A. Pamplin, Ying Zhu, Paul S. Katz, Rajshekh...
IJCNN
2006
IEEE
14 years 5 months ago
Markov Coding Strategy of the Simple Spiking Model of Auditory Neuron
— 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...
Alexei V. Ivanov, Alexander A. Petrovsky
ICANN
2007
Springer
14 years 5 months ago
Neurotransmitter Fields
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...
Douglas S. Greer
IJCNN
2007
IEEE
14 years 5 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— 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 ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...