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arXiv · 0907.3924

Timescales of spike-train correlation for neural oscillators with common drive

Andrea K. Barreiro·Eric Shea-Brown·Evan L. Thilo
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Abstract

We examine the effect of the phase-resetting curve (PRC) on the transfer of correlated input signals into correlated output spikes in a class of neural models receiving noisy, super-threshold stimulation. We use linear response theory to approximate the spike correlation coefficient in terms of moments of the associated exit time problem, and contrast the results for Type I vs. Type II models and across the different timescales over which spike correlations can be assessed. We find that, on long timescales, Type I oscillators transfer correlations much more efficiently than Type II oscillators. On short timescales this trend reverses, with the relative efficiency switching at a timescale that depends on the mean and standard deviation of input currents. This switch occurs over timescales that could be exploited by downstream circuits.

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Andrea K. Barreiro, Eric Shea-Brown, Evan L. Thilo. 2009-07-22. Timescales of spike-train correlation for neural oscillators with common drive. https://doi.org/10.1103/physreve.81.011916

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