<p>(<i>A</i>) Synaptic weight matrices for different latency conduction delays (1–5 time steps). Positive values (red) correspond to activating connections and negative values (blue) to inhibitory ones. (<i>B</i>) full pattern of activity in the sensory environment (full pattern), input activity during the open state (open), internal activity during the closed state (closed), and the combined (complete). Pattern completion during the closed state is a perfect match to the missing input. SSM parameter choices were as follows: potentiation strength (α): 4×10<sup>−5</sup>, spike-rate memory (m<sub>s</sub>): 100, potentiation memory (m<sub>p</sub>): 100, state switching period: (Gaussian, τ<sub>μ</sub> = 15, τ<sub>σ</sub> = 5), neuron firing threshold (V<sub>t</sub>): 0.5, sigmoid sharpness (S): 10, latency range (L): 5. Spike-rate memory (m<sub>s</sub>) and potentiation memory (m<sub>p</sub>) are the widths of averaging time window for calculating mean spike-rate and mean potentiation, respectively. (<i>C</i>) Input synaptic drive into a single neuron for activating input (red), and inhibitory input (blue). Spikes are represented in green. The comparisons were performed after stabilization of learning. The two simulations are identical except for a thousand-fold higher potentiation scale (α). Each neuron has 290 synaptic inputs (29 neurons ×5 latencies ×2 polarities).</p
