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Fig. 1 | Brain Informatics

Fig. 1

From: Inferring the temporal evolution of synaptic weights from dynamic functional connectivity

Fig. 1

Graphical depiction of the method. A Structural connectivity of the simulated network for N = 10 neurons. Synaptic weights could be either excitatory (green) or inhibitory (blue). Excitatory connections had randomly distributed communication delays. B The strength of the synaptic weights changed over time due to STDP. C Structural and biophysical properties of the network determined the spiking activity of the neural population. The presence of an excitatory (inhibitory) synapse between pairs of neurons (such as the yellow and the purple one) generates spike trains that are correlated (anticorrelated) over time with a delay \(\delta\). D Static FC was measured from spiking activity. E DFC was measured from pairwise activity measures, additionaly leveraging on the inferred static connectivity of the network, and compared to ground truth temporal evolution of synaptic weights (two example synapses are shown as orange and grey lines)

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