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» Biologically inspired signal processing
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 1 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
ISNN
2005
Springer
15 years 3 months ago
A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories
Built on the theories of biological neural network, artificial neural network methods have shown many significant advantages. However, the memory space in an artificial neural chip...
Zihong Liu, Zhihua Wang, Guolin Li, Zhiping Yu
BMCBI
2005
98views more  BMCBI 2005»
14 years 9 months ago
Iterative approach to model identification of biological networks
Background: Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is intr...
Kapil G. Gadkar, Rudiyanto Gunawan, Francis J. Doy...
BIOSYSTEMS
2007
87views more  BIOSYSTEMS 2007»
14 years 9 months ago
Robot control with biological cells
At present there exists a large gap in size, performance, adaptability and robustness between natural and artificial information processors for performing coherent perception-act...
Soichiro Tsuda, Klaus-Peter Zauner, Yukio-Pegio Gu...
ECAI
2008
Springer
14 years 11 months 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