Spike Metrics


Several studies in neurophysiology require the comparison between neuronal responses. Victor and Purpura developed a measure of distance between spike trains based on work in molecular biology to compute distances between DNA sequences:

Victor, J. D. & Purpura, K. P. Metric-space Analysis of Spike trains, algorithms and application. Network: Computation and Neural Systems (1997) 8:127-164

We have used this spike metric to quantitatively characterize the variability of the responses to random amplitude modulations in the electric field in P-receptor afferents of Eigenmannia.

Computation of spike train distances. The distance between 2 spike trains was obtained as the minimum cost to convert one spike train into the 2nd one using 3 elementary steps. A: the minimum cost path transforming spike train 1 into spike train 8 is illustrated (for a fixed value of q). Each intermediate spike train 2–7 corresponds to one elementary step: moving (from 2 to 3), adding (from 6 to 7) or deleting (from 1 to 2) a single spike. The cost of each elementary step is indicated on the right. Note that the cost of moving a spike is proportional to the distance that it is moved along the time axis. B: there are 2 alternatives to go from spike train 2 to spike train 3 in A: i) delete the last spike and add a new one or ii) move the last spike to its new desired position. The latter alternative is less expensive for the particular value of q illustrated here since q z uDt1u , 2 (the dashed time interval of length 2/q corresponds to the maximum displacement for which it is less expensive to move a spike).

More information can be found in Prof. Victor's web page.

 

KREIMAN LAB


Department of Ophthalmology
Program in Neurobiology
Children's Hospital Harvard Medical School
Center for Brain Science, Harvard University
Swartz Center for Theoretical Neuroscience    

 

 

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