Title
SpiNDeK: an integrated design tool for the multiprocessor emulation of complex bioinspired spiking neural networks
Abstract
SpiNDeK (Spiking Neural Network Design Kit) is an integrated design tool intended to support the development of emulation of complex bioinspired neural networks. In this work, the most relevant aspects of the tool are reported, regarding the generation of connections as well as synapse and neuron parameters of spiking neural networks as well as the automated code generation and simulation, ready to be executed by an ad-hoc parallel architecture. The tool is fully functional and has demonstrated its usefulness.
Year
DOI
Venue
2009
10.1109/CEC.2009.4982941
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
relevant aspect,multiprocessor emulation,ad-hoc parallel architecture,neural network,neuron parameter,spiking neural network design,complex bioinspired spiking neural,complex bioinspired neural network,automated code generation,integrated design tool,debugging,artificial neural networks,field programmable gate arrays,emulation,computational modeling,manufacturing,neural nets,network synthesis,registers,spiking neural network,neural networks
Computer architecture,Computer science,Field-programmable gate array,Code generation,Emulation,Integrated design,Artificial neural network,Spiking neural network,Virtual prototyping,Debugging,Embedded system
Conference
Citations 
PageRank 
References 
4
0.50
13
Authors
3
Name
Order
Citations
PageRank
Michael Hauptvogel140.50
Jordi Madrenas215027.87
J. Manuel Moreno3284.71