Interval Timing by Long-Range Temporal Integration

Fuat Balci,Jonathan D Cohen,Laura Desouza,Patrick Simen,Philip Holmes

doi:10.3389/fnint.2011.00028

Fuat Balci, Jonathan D Cohen + Show 3 more

Open Access

https://doi.org/10.3389/fnint.2011.00028

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Abstract

Interval Timing by Long-Range Temporal Integration

Highlights

Since the 1960s, many psychological models have exploited Poisson-like firing rates of cortical neurons to account for variability in measured behavior Luce (1986)
We hypothesize that the level of robust integration needed to model interval timing in this way over many orders of temporal magnitude can be achieved by physical spike generators and counters with a range of intrinsic spike rates and time constants
Recurrent connections within such a model population produce reverberating activity that emulates a leaky integrator with a large time constant

Summary

Introduction

Since the 1960s, many psychological models have exploited Poisson-like firing rates of cortical neurons to account for variability in measured behavior Luce (1986). They have typically applied counters to these spike trains to achieve behavioral functionality (e.g., counting spikes up to a threshold to trigger a timed behavior).

Results

Conclusion