Difference between revisions of "Decoding Spike Trains"
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| − | : | + | :This tutorial will provide an introduction for using information theoretic and statistical physics-based methods for analysis of spike trains, such as detecting the scale of temporal features involved in the neural control, detection of multi-neuron synergies, and identification of multi spike patterns that are correlated with (and possibly control) behavior. |
Latest revision as of 15:54, 2 March 2020
Back to ATLNextGenNeuro Workshop 2020.
by Ilya Nemenman and Sam Sober, Emory University
- Abstract
- This tutorial will provide an introduction for using information theoretic and statistical physics-based methods for analysis of spike trains, such as detecting the scale of temporal features involved in the neural control, detection of multi-neuron synergies, and identification of multi spike patterns that are correlated with (and possibly control) behavior.
