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DNA
2007
Springer
176views Bioinformatics» more  DNA 2007»
15 years 4 months ago
Asynchronous Spiking Neural P Systems: Decidability and Undecidability
In search for “realistic” bio-inspired computing models, we consider asynchronous spiking neural P systems, in the hope to get a class of computing devices with decidable prope...
Matteo Cavaliere, Ömer Egecioglu, Oscar H. Ib...
BVAI
2007
Springer
15 years 1 months ago
A Neural Network Model for a View Independent Extraction of Reach-to-Grasp Action Features
Abstract. The aim of this paper is to introduce a novel, biologically inspired approach to extract visual features relevant for controlling and understanding reachto-grasp actions....
Roberto Prevete, Matteo Santoro, Ezio Catanzariti,...
GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
15 years 3 months ago
Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption
Abstract. Many multi-robot systems are heterogeneous cooperative systems, systems consisting of different species of robots cooperating with each other to achieve a common goal. T...
Hongwei Liu, Hitoshi Iba
PADS
2005
ACM
15 years 3 months ago
Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model
Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of ...
Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, S...
IJON
2007
84views more  IJON 2007»
14 years 9 months ago
Modeling self-developing biological neural networks
Recent progress in chips–neuron interface suggests real biological neurons as long-term alternatives to silicon transistors. The first step ning such computing systems is to bu...
Hugues Berry, Olivier Temam