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» Modeling spiking neural networks
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NEUROSCIENCE
2001
Springer
14 years 2 months ago
Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
Mikel L. Forcada, Rafael C. Carrasco
JCNS
2002
71views more  JCNS 2002»
13 years 9 months ago
A Spiking Neuron Model for Binocular Rivalry
Abstract. We present a biologically plausible model of binocular rivalry consisting of a network of HodgkinHuxley type neurons. Our model accounts for the experimentally and psycho...
Carlo R. Laing, Carson C. Chow
EVOW
2005
Springer
14 years 3 months ago
Granular Sampling Using a Pulse-Coupled Network of Spiking Neurons
Abstract. We present a new technique for granular sampling using a pulsecoupled network of spiking artificial neurons to generate grain events. The system plays randomly selected s...
Eduardo Reck Miranda, John Matthias
NN
2000
Springer
127views Neural Networks» more  NN 2000»
13 years 10 months ago
Neural modeling and functional brain imaging: an overview
This article gives an overview of the different functional brain imaging methods, the kinds of questions these methods try to address and some of the questions associated with fun...
Barry Horwitz, Karl J. Friston, John G. Taylor
NIPS
2004
13 years 11 months ago
Rate- and Phase-coded Autoassociative Memory
Areas of the brain involved in various forms of memory exhibit patterns of neural activity quite unlike those in canonical computational models. We show how to use well-founded Ba...
Máté Lengyel, Peter Dayan