Time Encoding Machines Toolbox

Time Encoding Machines (TEMs) are neural circuit models that encode signals/stimuli such as odors, auditory and visual scenes (sounds, movies, animation, etc.) in the time domain. The amplitude domain information of the analog stimuli is transformed into (represented by) time sequences of action potentials (spike trains).

TEMs open-source software packages developed by members of the Bionet Group of interest to the research community are listed below. The latest source code and documentation can be obtained from the Bionet Group's GitHub repository.

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