DecodingProjection

DecodingProjection(
    self,
    pre,
    post,
    target,
    window=0.0,
    name=None,
    copied=False,
    net_id=0,
)

Decoding projection to transform spike trains into firing rates.

The pre-synaptic population must be a spiking population, while the post-synaptic one must be rate-coded.

Pre-synaptic spikes are accumulated for each post-synaptic neuron. A sliding window can be used to smoothen the results with the window parameter.

The decoded firing rate is accessible in the post-synaptic neurons with sum(target).

The projection can be connected using any method available in Projection (although all-to-all or many-to-one makes mostly sense). Delays are ignored.

The weight value allows to scale the firing rate: if you want a pre-synaptic firing rate of 100 Hz to correspond to a post-synaptic rate of 1.0, use w = 1./100..

Example:

net = ann.Network()

pop1 = net.create(ann.PoissonPopulation(1000, rates=100.))
pop2 = net.create(1, ann.Neuron(equations="r=sum(exc)"))

proj = net.connect(ann.DecodingProjection(pop1, pop2, 'exc', window=10.0))
proj.all_to_all(1.0)

Parameters

Name	Type	Description	Default
pre	Population	pre-synaptic population.	required
post	Population	post-synaptic population.	required
target	str	type of the connection.	required
window	float	duration of the time window to collect spikes (default: dt).	0.0
name	str	optional name.	None