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NPL
2006
85views more  NPL 2006»
14 years 10 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
ESANN
2003
14 years 12 months ago
Evolved Neurodynamics for Robot Control
Small recurrent neural network with two and three neurons are able to control autonomous robots showing obstacle avoidance and photo-tropic behaviors. They have been generated by e...
Frank Pasemann, Martin Hülse, Keyan Zahedi
IJCNN
2006
IEEE
15 years 4 months ago
Tristability in Model Neurons
— The tristability that a class of two-dimensional neuron models may exhibit is investigated in this paper. One proposition and three corollaries on saddles, which play an import...
Guang-Hong Wang, Ping Jiang
ALIFE
2006
14 years 10 months ago
Neural Processing of Counting in Evolved Spiking and McCulloch-Pitts Agents
This paper investigates the evolution of autonomous agents that solve a memorydependent counting task. Two types of neurocontrollers are evolved: networks of McCulloch-Pitts neuro...
Keren Saggie-Wexler, Alon Keinan, Eytan Ruppin
73
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IJCNN
2008
IEEE
15 years 4 months ago
Wafer-scale integration of analog neural networks
Abstract— This paper introduces a novel design of an artificial neural network tailored for wafer-scale integration. The presented VLSI implementation includes continuous-time a...
Johannes Schemmel, Johannes Fieres, Karlheinz Meie...