STSimM: a new tool for evaluating neuron model performance and detecting spike trains similarity (Marasco et al., 2024)


"Four time-scale adaptive performance and similarity measures are proposed and implemented in the STSimM (Spike Trains Similarity Measures) Python tool. These measures are designed to accurately capture both the precise timing of individual spikes and shared periods of inactivity among spike trains."

Model Type:

Region(s) or Organism(s):

Cell Type(s):

Currents:

Receptors:

Genes:

Transmitters:

Model Concept(s): Methods

Simulation Environment: Python; Cython

References:

Marasco A, Lupascu CA, Tribuzi C. (2025). STSimM: A new tool for evaluating neuron model performance and detecting spike trains similarity. Journal of neuroscience methods. 415 [PubMed]


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