Rui Cao, John H. Bladon, Stephen J. Charczynski, Michael E. Hasselmo, Marc W. Howard. Internally Generated Time in the Rodent Hippocampus is Logarithmically Compressed. bioRxiv 2021.10.25.465750; doi: https://doi.org/10.1101/2021.10.25.465750

Abstract
“The Weber-Fechner law proposes that our perceived sensory input increases with physical input on a logarithmic scale. Hippocampal “time cells” carry a record of recent experience by firing sequentially during a circumscribed period of time after a triggering stimulus. Different cells have “time fields” at different delays up to at least tens of seconds. Past studies suggest that time cells represent a compressed timeline by demonstrating that fewer time cells fire late in the delay and their time fields are wider. This paper asks whether the compression of time cells obeys the Weber-Fechner Law. Time cells were studied with a hierarchical Bayesian model that simultaneously accounts for the firing pattern at the trial level, cell level, and population level. This procedure allows separate estimates of the within-trial receptive field width and the across-trial variability. The analysis at the trial level suggests the time cells represent an internally coherent timeline as a group. Furthermore, even after isolating across-trial variability, time field width increases linearly with delay. Finally, we find that the time cell population is distributed evenly on a logarithmic time scale. Together, these findings provide strong quantitative evidence that the internal neural temporal representation is logarithmically compressed and obeys a neural instantiation of the Weber-Fechner Law.”

Rui Cao, John H. Bladon, Stephen J. Charczynski, Michael E. Hasselmo, Marc W. Howard. Internally Generated Time in the Rodent Hippocampus is Logarithmically Compressed. bioRxiv 2021.10.25.465750; doi: https://doi.org/10.1101/2021.10.25.465750