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» Modeling spiking neural networks
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JCNS
1998
134views more  JCNS 1998»
13 years 9 months ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez
NIPS
2003
13 years 11 months ago
The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity
A balanced network leads to contradictory constraints on memory models, as exemplified in previous work on accommodation of synfire chains. Here we show that these constraints can...
Yuval Aviel, David Horn, Moshe Abeles
ICANN
2007
Springer
14 years 4 months ago
Biasing Neural Networks Towards Exploration or Exploitation Using Neuromodulation
Abstract. Taking neuromodulation as a mechanism underlying emotions, this paper investigates how such a mechanism can bias an artificial neural network towards exploration of new ...
Karla Parussel, Lola Cañamero
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
14 years 3 months ago
Evolutionary Ensemble for Stock Prediction
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Yung-Keun Kwon, Byung Ro Moon
ECCC
2000
59views more  ECCC 2000»
13 years 10 months ago
A Simple Model for Neural Computation with Firing Rates and Firing Correlations
A simple extension of standard neural network models is introduced which provides a model for neural computations that involve both firing rates and firing correlations. Such an ex...
Wolfgang Maass