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» Tristability in Model Neurons
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ARC
2009
Springer
175views Hardware» more  ARC 2009»
15 years 4 months ago
A Hardware Accelerated Simulation Environment for Spiking Neural Networks
Spiking Neural Networks (SNNs) model the biological functions of the human brain enabling neuro/computer scientists to investigate how arrays of neurons can be used to solve comput...
Brendan P. Glackin, Jim Harkin, T. Martin McGinnit...
82
Voted
IJCNN
2006
IEEE
15 years 3 months ago
Complex Phase Synchronization in an Array of Oscillators Coupled by Time-Varying Resistor
— In recent years, many people have been trying to develop some applications to information processing by exploiting oscillatory phenomena in neural networks. Bifurcation and sta...
Yoko Uwate, Yoshifumi Nishio
JCNS
2007
77views more  JCNS 2007»
14 years 9 months ago
Threshold fatigue and information transfer
Neurons in vivo must process sensory information in the presence of significant noise. It is thus plausible to assume that neural systems have developed mechanisms to reduce this n...
Maurice J. Chacron, Benjamin Lindner, André...
SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
15 years 3 months ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian
ISTCS
1993
Springer
15 years 1 months ago
Analog Computation Via Neural Networks
We pursue a particular approach to analog computation, based on dynamical systems of the type used in neural networks research. Our systems have a xed structure, invariant in time...
Hava T. Siegelmann, Eduardo D. Sontag