Independent Component Analysis in Spiking Neurons
Figure 7
(A) Overview of the network structure: all neurons receive signals from the input layer and are recurrently connected by all-to-all inhibitory synapses, (B) A set of receptive fields learned for the bars problem, (C) Evolution of the mean correlation coefficient and mutual information in time, both computed by dividing the neuron output in bins of width 1000 s and estimating and
for each bin, (D) Learned inhibitory lateral connections, (E) A set of receptive fields learned for natural image patches.