Abstract | ||
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The Time Machine (TM) is a spike-based computation architecture that represents synaptic weights in time. This choice of weight representation allows the use of virtual synapses, providing an excellent tradeoff in terms of flexibility, arbitrary weight connections and hardware usage compared to dedicated synapse architectures. The TM supports an arbitrary number of synapses and is limited only by ... |
Year | DOI | Venue |
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2012 | 10.1109/TBCAS.2011.2179544 | IEEE Transactions on Biomedical Circuits and Systems |
Keywords | DocType | Volume |
Neurons,Radiation detectors,Arrays,Hardware,Field programmable gate arrays,Clocks | Journal | 6 |
Issue | ISSN | Citations |
2 | 1932-4545 | 2 |
PageRank | References | Authors |
0.46 | 31 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vaibhav Garg | 1 | 96 | 9.58 |
Ravi Shekhar | 2 | 34 | 3.82 |
John G. Harris | 3 | 413 | 75.11 |