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ZENODO
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ZENODO
Review . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Review . 2025
License: CC BY
Data sources: Datacite
ZENODO
Review . 2025
License: CC BY
Data sources: Datacite
ZENODO
Review . 2025
License: CC BY
Data sources: Datacite
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State-Space Kinetic Ising Model Code and Data for Neuronal Spiking Analysis

Authors: ISHIHARA, KEN;

State-Space Kinetic Ising Model Code and Data for Neuronal Spiking Analysis

Abstract

Data Archive for "State-Space Kinetic Ising Model" This Zenodo entry provides archival storage for large-scale precomputed data used in the analysis of non-stationary and nonequilibrium neuronal spiking activity, as described in the associated code repository. Note: This Zenodo page only hosts the data required to reproduce the figures.For the source code, documentation, and instructions on how to run the analysis, please visit the GitHub repository: πŸ”— GitHub Repository: https://github.com/KenIshihara-17171ken/Non_equ Included Folders Once extracted, the following directories should appear inside the main_kinetic/saved_data/ path: data_emd/ β€” EM algorithm results data_sampling_entropy_flow/ β€” Sampling-based entropy flow data data_theta_spike/ β€” Synthetic spike trains and model parameters Citation If you use this dataset, please cite the corresponding preprint:arXiv: 2502.15440

Keywords

Computational Neuroscience, Spike Train Analysis, Neuronal Spiking, Nonequilibrium, State-Space Kinetic Ising Model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average