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

Biology – Quantitative Biology – Neurons and Cognition

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Timescales of spike-train correlation for neural oscillators with common drive does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Timescales of spike-train correlation for neural oscillators with common drive, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Timescales of spike-train correlation for neural oscillators with common drive will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-354159

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.