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» Tristability in Model Neurons
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ECAI
2010
Springer
14 years 10 months ago
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Ludovic Arnold, Hélène Paugam-Moisy,...
85
Voted
JCNS
2000
64views more  JCNS 2000»
14 years 9 months ago
A Simple Mathematical Model of Second-Messenger Mediated Slow Excitatory
We have developed a novel and simple mathematical model of a slow excitatory postsynaptic potential ased on an abstraction of the processes of activation, inactivation, and summati...
P. P. Bertrand, E. A. Thomas, W. A. A. Kunze, J. C...
NECO
2000
95views more  NECO 2000»
14 years 9 months ago
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex
RF-LISSOM, a self-organizing model of laterally connected orientation maps in the primary visual cortex, was used to study the psychological phenomenon known as the tilt aftereffe...
James A. Bednar, Risto Miikkulainen
NN
2007
Springer
14 years 9 months ago
Edge of chaos and prediction of computational performance for neural circuit models
We analyze in this article the significance of the edge of chaos for real-time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We ...
Robert A. Legenstein, Wolfgang Maass
JCNS
2000
84views more  JCNS 2000»
14 years 9 months ago
Nonlinear Thermodynamic Models of Voltage-Dependent Currents
Hodgkin and Huxley provided the first quantitative description of voltage-dependent currents and adjusted their model to experimental data using empirical functions of voltage. A p...
Alain Destexhe, John R. Huguenard