Izhikevich(spiking_method, **kwargs)
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A neuron layer that wraps a IzhikevichCell in time such that the layer keeps track of temporal sequences of spikes. After application, the layer returns a tuple containing (spikes from all timesteps, state from the last timestep). |
IzhikevichCell(spiking_method, **kwargs)
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Module that computes a single Izhikevich neuron-model without recurrence and without time. |
IzhikevichRecurrent(input_size, hidden_size, ...)
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A neuron layer that wraps a IzhikevichRecurrentCell in time such that the layer keeps track of temporal sequences of spikes. After application, the layer returns a tuple containing (spikes from all timesteps, state from the last timestep). |
IzhikevichRecurrentCell(input_size, ...)
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Module that computes a single euler-integration step of an Izhikevich neuron-model with recurrence but without time. |
