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» Evolving networks of integrate-and-fire neurons
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AIPRF
2007
13 years 7 months ago
Instinct and Learning Synergy in Simulated Foraging Using a Neural Network
Instinct and experience are shown to form a potent combination to achieve effective foraging in a simulated environment. A neural network capable of evolving instinct-related neur...
Thomas E. Portegys
IJON
2006
43views more  IJON 2006»
13 years 6 months ago
A two-dimensional population density approach to modeling the dLGN/PGN network
The interaction of two populations of integrate-and-fire-or-burst neurons representing thalamocortical cells from the dorsal lateral geniculate nucleus (dLGN) and thalamic reticul...
Marco A. Huertas, Gregory D. Smith
EWLR
1999
Springer
13 years 10 months ago
Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically-Rearranging Neural Network Approach
In the field of evolutionary robotics artificial neural networks are often used to construct controllers for autonomous agents, because they have useful properties such as the ab...
Peter Eggenberger, Akio Ishiguro, Seiji Tokura, To...
ICANN
2007
Springer
13 years 10 months ago
Text-Independent Speaker Authentication with Spiking Neural Networks
This paper presents a novel system that performs text-independent speaker authentication using new spiking neural network (SNN) architectures. Each speaker is represented by a set ...
Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasa...
ALIFE
2005
13 years 6 months ago
Flexible Couplings: Diffusing Neuromodulators and Adaptive Robotics
Recent years have seen the discovery of freely diffusing gaseous neurotransmitters, such as nitric oxide (NO), in biological nervous systems. A type of artificial neural network (A...
Andrew Philippides, Phil Husbands, Tom Smith, Mich...