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» Neuronal Models with Current Inputs
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NN
2008
Springer
13 years 9 months ago
Multilayer in-place learning networks for modeling functional layers in the laminar cortex
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...
Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue
ICANN
2005
Springer
14 years 3 months ago
Reinforcement Learning in MirrorBot
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
Cornelius Weber, David Muse, Mark Elshaw, Stefan W...
DATE
2006
IEEE
124views Hardware» more  DATE 2006»
14 years 3 months ago
Cell delay analysis based on rate-of-current change
Abstract - A cell delay model based on rate-of-currentchange is presented, which accounts for the impact of the shape of the noisy waveform on the output voltage waveform. More pre...
Shahin Nazarian, Massoud Pedram
IWANN
1997
Springer
14 years 2 months ago
The Pattern Extraction Architecture: A Connectionist Alternative to the Von Neumann Architecture
A detailed connectionist architecture is described which is capable of relating psychological behavior to the functioning of neurons and neurochemicals. The need to be able to bui...
L. Andrew Coward
FPL
2008
Springer
125views Hardware» more  FPL 2008»
13 years 11 months ago
Reconfigurable platforms and the challenges for large-scale implementations of spiking neural networks
FPGA devices have witnessed popularity in their use for the rapid prototyping of biological Spiking Neural Network (SNNs) applications, as they offer the key requirement of reconf...
Jim Harkin, Fearghal Morgan, Steve Hall, Piotr Dud...