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» Simulation of Spiking Neural Networks on Different Hardware ...
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ICES
2003
Springer
111views Hardware» more  ICES 2003»
13 years 10 months ago
Spiking Neural Networks for Reconfigurable POEtic Tissue
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle...
ARC
2009
Springer
175views Hardware» more  ARC 2009»
13 years 11 months ago
A Hardware Accelerated Simulation Environment for Spiking Neural Networks
Spiking Neural Networks (SNNs) model the biological functions of the human brain enabling neuro/computer scientists to investigate how arrays of neurons can be used to solve comput...
Brendan P. Glackin, Jim Harkin, T. Martin McGinnit...
IWANN
2007
Springer
13 years 11 months ago
Interconnecting VLSI Spiking Neural Networks Using Isochronous Connections
This paper presents a network architecture to interconnect mixed-signal VLSI1 integrate-and-fire neural networks in a way that the timing of the neural network data is preserved. ...
Stefan Philipp, Andreas Grübl, Karlheinz Meie...
FPL
2008
Springer
125views Hardware» more  FPL 2008»
13 years 6 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...
IJON
2007
93views more  IJON 2007»
13 years 4 months ago
How much can we trust neural simulation strategies?
Despite a steady improvement of computational hardware, results of numerical simulation are still tightly bound to the simulation tool and strategy used, and may substantially var...
Michelle Rudolph, Alain Destexhe