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» Nonlinear Processing in LGN Neurons
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IJCSA
2007
100views more  IJCSA 2007»
13 years 6 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 10 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
NIPS
2003
13 years 7 months ago
The Diffusion-Limited Biochemical Signal-Relay Channel
Biochemical signal-transduction networks are the biological information-processing systems by which individual cells, from neurons to amoebae, perceive and respond to their chemic...
Peter J. Thomas, Donald J. Spencer, Sierra K. Hamp...
JCNS
2000
64views more  JCNS 2000»
13 years 6 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...
BC
1998
94views more  BC 1998»
13 years 6 months ago
A neural network study of precollicular saccadic averaging
Saccadic averaging is the phenomenon that two simultaneously presented retinal inputs result in a saccade with an endpoint located on an intermediate position between the two stimu...
Karin P. Krommenhoek, W. A. J. J. Wiegerinck