Identifying properties of pattern completion neurons in a computational model of the visual cortex
Fig 7
Latency within ensemble activation events during spontaneous ensemble activity can identify pattern completion neurons.
(A) Top: Histogram of the number of spikes from 36 ensemble neurons over 250 seconds (using 1 second bins). Bottom: Raster plot of spontaneous ensemble activity from all 36 ensemble neurons. Arrows represent ensemble events shown in (B). (B) Zoomed-in view of three ensemble recall events. The cyan vertical line represents the median spike time, which was the reference for calculating relative latency for that recall event. Neurons are arranged and colored by latency, with earlier average latency neurons closer to the x-axis. (C) Histogram of the distribution of latency for each ensemble neuron. Latency was averaged over 41 ensemble recall events. The color gradient of the bars also serves as the colormap for individual neurons in panel (B). (D) 6 neurons that had early (negative) average latency values and 5 neurons that had late (positive) average latency values were selected to stimulate in pairs. (E) Early neuron pairs had a higher ensemble recall rate over 400 stimulation events than late neuron pairs. n = 10 neuron pairs for each group. (F) Early neuron pairs had a lower PCC than late neuron pairs. n = 10 neuron pairs for each group. (G) A scatter plot for the two forms of latency demonstrates that latency calculated from the action potential model was generally correlated with the latency calculated from the model incorporating GCaMP rise kinetics for all ensemble neurons from 41 spontaneous recall events. *** indicates p<0.001.