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» The Emergent neural modeling system
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NIPS
2008
15 years 18 days ago
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
C. C. Alan Fung, K. Y. Michael Wong, Si Wu
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 7 days 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
ECAI
2008
Springer
15 years 28 days ago
Emergence of Rules in Cell Assemblies of fLIF Neurons
Abstract. There are many examples of intelligent and learning systems that are based either on the connectionist or the symbolic approach. Although the latter can be successfully c...
Roman V. Belavkin, Christian R. Huyck
73
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ICMCS
2010
IEEE
211views Multimedia» more  ICMCS 2010»
15 years 7 days ago
Heterogenesis: Collectively emergent autonomy
Heterogenesis is an interactive sound and tactile installation consisting of a group of autonomous artificial agents that collectively generate and evolve a soundscape in response...
Carlos Castellanos, Diane Gromala, Philippe Pasqui...
ATAL
2010
Springer
15 years 8 days ago
How important are updating schemes in multi-agent systems? An illustration on a multi-turmite model
It is to date an open question to know how the updating methods affect the evolution of a multi-agent system. This question has been tackled for various complex systems such as ce...
Nazim Fatès, Vincent Chevrier