Spiking Neuromorphic Networks for Binary Tasks

In this paper, we focus on the hand construction of small-scale, spiking, neuromorphic networks. They are partitioned into two sets. The first set performs the binary operations AND, OR and XOR. For each of these operations, there are eight scenarios that we consider, with four types of encodings of binary values to spikes, and neurons that feature or prohibit leak. The second set of networks perform conversions of binary values from one type of encoding to another, again considering both leak or no leak. These networks are presented graphically and with spike-raster plots that illustrate their activity. We tabulate metrics of interest concerning the size, activity and speed of these networks. Our goal with this work is to enable the composition of multiple spiking neural networks, perhaps trained with other methodologies, without requiring information to leave a neuroprocessor for processing by conventional hardware.

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