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» Modeling self-developing biological neural networks
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GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
13 years 7 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
IJCNN
2007
IEEE
14 years 1 months ago
Implementation of multi-layer leaky integrator networks on a cellular processor array
- We present an application of a massively parallel processor array VLSI circuit to the implementation of neural networks in complex architectural arrangements. The work was motiva...
David R. W. Barr, Piotr Dudek, Jonathan M. Chamber...
CIBCB
2007
IEEE
13 years 10 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao
NEUROSCIENCE
2001
Springer
13 years 11 months ago
Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization
This volume is intended to help advance the field of artificial neural networks along the lines of complexity present in animal brains. In particular, we are interested in examin...
Joanna Bryson, Lynn Andrea Stein
ICRA
2008
IEEE
143views Robotics» more  ICRA 2008»
14 years 1 months ago
Pattern generators with sensory feedback for the control of quadruped locomotion
— Central Pattern Generators (CPGs) are becoming a popular model for the control of locomotion of legged robots. Biological CPGs are neural networks responsible for the generatio...
Ludovic Righetti, Auke Jan Ijspeert