Tharun S. Sonti

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For spiking networks to perform computational tasks, benchmark data sets are required for model design, refinement and testing. Classic machine learning benchmark data sets use classification as the dominant paradigm, however the temporal characteristics of spiking neural networks mean they are likely to be more useful for problems involving sequence data.(More)
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