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» Evolving Complex Neural Networks
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BMCBI
2007
162views more  BMCBI 2007»
14 years 10 months ago
Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
Background: Genome-wide identification of specific oligonucleotides (oligos) is a computationallyintensive task and is a requirement for designing microarray probes, primers, and ...
Chun-Chi Liu, Chin-Chung Lin, Ker-Chau Li, Wen-Shy...
BIOSYSTEMS
2007
111views more  BIOSYSTEMS 2007»
14 years 10 months ago
Event-driven simulation of neural population synchronization facilitated by electrical coupling
Most neural communication and processing tasks are driven by spikes. This has enabled the application of the event-driven simulation schemes. However the simulation of spiking neu...
Richard R. Carrillo, Eduardo Ros, Boris Barbour, C...
NN
1998
Springer
117views Neural Networks» more  NN 1998»
14 years 9 months ago
Neural learning of embodied interaction dynamics
This paper presents our approach towards realizing a robot which can bootstrap itself towards higher complexity through embodied interaction dynamics with the environment includin...
Yasuo Kuniyoshi, Luc Berthouze
ECAL
2005
Springer
15 years 3 months ago
(Co)Evolution of (De)Centralized Neural Control for a Gravitationally Driven Machine
Using decentralized control structures for robot control can offer a lot of advantages, such as less complexity, better fault tolerance and more flexibility. In this paper the ev...
Steffen Wischmann, Martin Hülse, Frank Pasema...
BC
1998
84views more  BC 1998»
14 years 9 months ago
Stimulus-induced bifurcations in discrete-time neural oscillators
Abstract. Based on theoretical issues and neurobiological evidence, considerable interest has recently focused on dynamic computational elements in neural systems. Such elements re...
Ali A. Minai, Tirunelveli Anand