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Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional brain-computer interface

Fig 2

(A) Mean network correlations for synaptic equilibria under normal activity C(u) (thick green line) and under spike-triggered stimulation C^†(u) (dashed red line). Mean correlations for normal network activity with synaptic equilibrium obtained from stimulation () is shown in dashed blue. External correlations also shown (thin black line). (B) Evolution of synaptic weight averages over time, computed with analytical estimates, color-coded as in C. External rates as in Fig 1B. Initiated at equilibrium (see Methods), spike triggered stimulation (†) is switched “on” for the indicated period. Inset shows evolutions of 10 randomly chosen synapses from group a to group b, from corresponding spiking network simulation. (C) Top: plots of mean equilibrium matrices in normal activity and under spike-triggered stimulation (left/right resp.). Bottom: snapshot of full simulated matrix J(t) once equilibria are reached (N = 60). (D) Plot of relative synaptic changes between equilibria: with α, β ∈ {a, b, c}.

doi: https://doi.org/10.1371/journal.pcbi.1005343.g002