Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons
Figure 7
Sampling from a Boltzmann distribution with more realistic PSP shapes.
(A) The upper panel shows the shape of a single PSP elicited at time . The lower panel shows the time course of the refractory function
caused by a single spike of neuron
at
. The grey-shaded area of length
indicates the interval of neuron
being active (i.e.,
) due to a single spike of neuron
at time
. (B) Shown is the probability distribution of 5 out of 40 neurons. The plot is similar to Figure 3C, however it is generated with a sampling network that features alpha-shaped, additive PSPs. It can be seen that the network still produces a reasonable approximation to the true Boltzmann distribution (determined by Gibbs sampling).