smoothed_rate

core.Monitor.smoothed_rate(spikes, smooth=0.0)

Computes the smoothed firing rate of the recorded spiking neurons.

The first axis is the neuron index, the second is time.

Example:

m = ann.Monitor(P[:1000], 'spike')
ann.simulate(1000.0)
spikes = m.get('spike')
r = smoothed_rate(smooth=100.)

Parameters

Name	Type	Description	Default
spikes	dict	the dictionary of spikes returned by get('spike'). If left empty, get('spike') will be called. Beware: this erases the data from memory.	required
smooth	float	smoothing time constant. Default: 0.0 (no smoothing).	0.0