Sciweavers

135 search results - page 1 / 27
» System Identification for the Hodgkin-Huxley Model using Art...
Sort
View
IJCNN
2007
IEEE
13 years 11 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
PADS
2005
ACM
13 years 10 months ago
Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model
Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of ...
Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, S...
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
13 years 11 months ago
Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networks
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...
Sylvie Renaud, Jean Tomas, Yannick Bornat, Adel Da...
INFORMATICALT
2008
120views more  INFORMATICALT 2008»
13 years 4 months ago
Nonlinear Behaviour in the MPI-Parallelised Model of the Rat Somatosensory Cortex
Mammalian brains consisting of up to 1011 neurons belong to group of the most complex systems in the Universe. For years they have been one of the hardest objects of simulation. Th...
Grzegorz M. Wojcik, Wieslaw A. Kaminski
IJCSA
2007
100views more  IJCSA 2007»
13 years 4 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