Bias-free estimation of information content in temporally sparse neuronal activity
Fig 1
Ca2+ imaging from hippocampal neurons during linear-track exploration yields temporally sparse neuronal activity.
(A) Ca2+ imaging in the hippocampus of freely behaving mice as they run back and forth on a linear track. (B) Ten example contours of detected cells overlaid on the projection of all the detected cells in a given imaging session. (C) The fluorescence traces (colors) extracted for the example cells shown in B and their estimated spike trains (black). (D-F) The distribution of the average firing rates across all positions (D), of the firing rates in the most active position (E), and of the total number of active time bins in a given session (F) for hippocampal place cells. Distributions in D-F are for 44,981 place cells during running periods, pooled from N = 9 mice (1,717–9,906 cells per mouse) recorded over 8 sessions in each of two different environments per mouse. We focused only on sufficiently active cells (≥ 5 active time bins in a given session). Cells were analyzed independently, without tracking them across sessions.