This repo holds the codes for Fast-SNN. The time steps of SNNs are automatically calculated from activation precision, i.e., T = 2^b-1. By default, we use signed IF neuron model. optinal arguments: ...

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Phenomenological spiking model. An effective neuron model with accurate input–output properties (the output being spike trains), but where the underlying biophysical mechanisms are not explicitly ...

Connecting pointers using Python: neuromuscular model revisited. NEURON provides a programming interface for the Python language. While NEURON runs independently, the Python interface allows one to ...