Emergence of sparse coding, balance and decorrelation from a biologically-grounded spiking neural network model of learning in the primary visual cortex
Fig 9
Tight balance: The cross correlation between the excitatory-only and inhibitory-only responses of the neuron in Fig 8A when input is provided by ten correlated images patches similar to that shown in Fig 8D (inset).
The black trace shows the mean of the ten traces and the error bar gives the confidence interval of the mean at a lag of 0 ms.