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» Tristability in Model Neurons
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IJON
2007
84views more  IJON 2007»
14 years 9 months ago
Modeling self-developing biological neural networks
Recent progress in chips–neuron interface suggests real biological neurons as long-term alternatives to silicon transistors. The first step ning such computing systems is to bu...
Hugues Berry, Olivier Temam
JUCS
2007
107views more  JUCS 2007»
14 years 9 months ago
Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...
Jili Tao, Ning Wang, Xuejun Wang
IJON
2002
65views more  IJON 2002»
14 years 9 months ago
A general framework for neurobiological modeling: an application to the vestibular system
The otolith organs in the vestibular system are excellent detectors of linear accelerations. However, any measurement of linear acceleration is ambiguous between a tilt in a gravi...
Chris Eliasmith, M. Brandon Westover, Charles H. A...
AMC
2006
94views more  AMC 2006»
14 years 9 months ago
Error analysis of a specialized numerical method for mathematical models from neuroscience
The exponential Euler method is a nonstandard approximation scheme that was developed specifically for the Hodgkin-Huxley differential equation models that arise in neuroscience a...
Jiyeon Oh, Donald A. French
NIPS
2001
14 years 11 months ago
A Maximum-Likelihood Approach to Modeling Multisensory Enhancement
The deep layers of the superior colliculus (DSC) integrate multisensory input and initiate an orienting response toward the source of stimulation. Multisensory response enhancemen...
H. Colonius, A. Diederich