Journal article
Modeling the spinal cord neural circuitry controlling cat hindlimb movement during locomotion
Neurocomputing (Amsterdam), v 52, pp 621-629
2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We have developed a computational model of the spinal cord neural circuitry that controls locomotor movements of simulated cat hindlimbs. The neural circuitry includes two central pattern generators integrated with reflex circuits. All neurons were modeled in the Hodgkin–Huxley style. The musculoskeletal system includes two three-joint hindlimbs and the trunk. Each hindlimb is actuated by nine one- and two-joint muscles (a Hill-type model). Our simulations allow us to suggest a specific network architecture in the spinal cord and a pattern of feedback connectivities (from Ia and Ib fibers and touch sensors) that provide stable locomotion and realistic patterns of muscle activation and kinematics of limb movements.
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Details
- Title
- Modeling the spinal cord neural circuitry controlling cat hindlimb movement during locomotion
- Creators
- D.G Ivashko - School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USAB.I Prilutsky - Center for Human Movement Studies, Georgia Institute of Technology, Atlanta, GA 30332, USAS.N Markin - School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USAJ.K Chapin - Department of Physiology and Pharmacology, SUNY Health Science Center, Brooklyn, NY 11203, USAI.A Rybak - School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA
- Publication Details
- Neurocomputing (Amsterdam), v 52, pp 621-629
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:000183514300090
- Scopus ID
- 2-s2.0-0038795550
- Other Identifier
- 991014878101904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence