Characterizing spike trains with Lempel-Ziv complexity
نویسندگان
چکیده
We review several applications of Lempel–Ziv complexity to the characterization of neural responses. In particular, Lempel–Ziv complexity allows to estimate the entropy of binned spike trains in an alternative way to the usual method based on the relative frequencies of words, with the de7nitive advantage of no requiring very long registers. We also use complexity to discriminate neural responses to di8erent kinds of stimuli and to evaluate the number of states of neuronal sources. c © 2004 Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- Neurocomputing
دوره 58-60 شماره
صفحات -
تاریخ انتشار 2004