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» Modeling self-developing biological neural networks
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CMSB
2011
Springer
12 years 6 months ago
The singular power of the environment on stochastic nonlinear threshold Boolean automata networks
Abstract. This paper tackles theoretically the question of the structural stability of biological regulation networks subjected to the influence of their environment. The model of...
Jacques Demongeot, Sylvain Sené
SAB
2010
Springer
117views Optimization» more  SAB 2010»
13 years 5 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
BC
2005
98views more  BC 2005»
13 years 6 months ago
Integrating behavioral and neural data in a model of zebrafish network interaction
The spinal neural networks of larval zebrafish (Danio rerio) generate a variety of movements such as escape, struggling, and swimming. Various mechanisms at the neural and network ...
P. Dwight Kuo, Chris Eliasmith
ESANN
2004
13 years 8 months ago
Input arrival-time-dependent decoding scheme for a spiking neural network
Spiking neurons model a type of biological neural system where information is encoded with spike times. In this paper, a new method for decoding input spikes according to their abs...
Hesham H. Amin, Robert H. Fujii
EVOW
2001
Springer
13 years 11 months ago
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
Abstract. We describe a set of preliminary experiments to evolve spiking neural controllers for a vision-based mobile robot. All the evolutionary experiments are carried out on phy...
Dario Floreano, Claudio Mattiussi