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» Hardware Implementations of Artificial Neural Networks
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FPL
2008
Springer
125views Hardware» more  FPL 2008»
13 years 9 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...
KES
2004
Springer
14 years 1 months ago
Towards Cortex Sized Artificial Nervous Systems
We characterize the size and complexity of the mammalian cortices of human, macaque, cat, rat, and mouse. We map the cortical structure onto a Bayesian confidence propagating neura...
Christopher Johansson, Anders Lansner
ERSA
2006
91views Hardware» more  ERSA 2006»
13 years 9 months ago
Intrinsic Embedded Hardware Evolution of Block-based Neural Networks
- An intrinsic embedded online evolution system has been designed using Block-based neural networks and implemented on Xilinx VirtexIIPro FPGAs. The designed network can dynamicall...
Saumil Merchant, Gregory D. Peterson, Seong Kong
EH
2002
IEEE
129views Hardware» more  EH 2002»
14 years 18 days ago
The BioWall: An Electronic Tissue for Prototyping Bio-Inspired Systems
In this article, we present the BioWall, a giant reconfigurable computing tissue developed to implement machines according to the principles of our Embryonics (embryonic electroni...
Gianluca Tempesti, Daniel Mange, André Stau...
ANNPR
2006
Springer
13 years 9 months ago
A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware
Abstract. Recently, the authors described a training method for a convolutional neural network of threshold neurons. Hidden layers are trained by by clustering, in a feed-forward m...
Johannes Fieres, Karlheinz Meier, Johannes Schemme...