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Analytical CPG model driven by single-limb velocity input generates accurate temporal locomotor dynamics

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290 days ago
Analytical CPG model driven by single-limb velocity input generates accurate temporal locomotor dynamics https://t.co/jzzdmcShr4
431 days ago
Analytical CPG model driven by single-limb velocity input generates accurate temporal locomotor dynamics https://t.co/NodRzLZUpD
431 days ago
My preprint has been published today in @PeerJPreprints https://t.co/Tw2Gf5YFPV #AnimalBehavior #Bioinformatics #ComputationalBiology
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A peer-reviewed article of this Preprint also exists.

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Supplemental Information

Matlab code to generate Fig.3

DOI: 10.7287/peerj.preprints.26734v2/supp-1

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Sergiy Yakovenko conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Anton Sobinov analyzed the data, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper.

Valeriya Gritsenko analyzed the data, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

This paper provides the analytical solution that requires no additional external data. We have posted the code to generate data figures on GitHub: https://github.com/neurowired/peerj2018

Funding

This work was supported by a student fellowship National Institute of Health, T32, AG052375-01A1 (AS), salary support from National Institute of Health, National Institute of General Medical Sciences, P20GM109098 (SY), and administrative support U54GM104942 (SY). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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