Literature DB >> 17278576

Sensory feedback in a half-center oscillator model.

Mario F Simoni1, Stephen P DeWeerth.   

Abstract

We hypothesize that one role of sensorimotor feedback for rhythmic movements in biological organisms is to synchronize the frequency of movements to the mechanical resonance of the body. Our hypothesis is based on recent studies that have shown the advantage of moving at mechanical resonance and how such synchronization may be possible in biology. We test our hypothesis by developing a physical system that consists of a silicon-neuron central pattern generator (CPG), which controls the motion of a beam, and position sensors that provide feedback information to the CPG. The silicon neurons that we use are integrated circuits that generate neural signals based on the Hodgkin-Huxley dynamics. We use this physical system to develop a model of the interaction between the sensory feedback and the complex dynamics of the neurons to create the closed-loop system behavior. This model is then used to describe the conditions under which our hypothesis is valid and the general effects of sensorimotor feedback on the rhythmic movements of this system.

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Year:  2007        PMID: 17278576     DOI: 10.1109/TBME.2006.886868

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  Formal analysis of resonance entrainment by central pattern generator.

Authors:  Y Futakata; T Iwasaki
Journal:  J Math Biol       Date:  2008-01-04       Impact factor: 2.259

2.  A dynamical systems analysis of afferent control in a neuromechanical model of locomotion: II. Phase asymmetry.

Authors:  Lucy E Spardy; Sergey N Markin; Natalia A Shevtsova; Boris I Prilutsky; Ilya A Rybak; Jonathan E Rubin
Journal:  J Neural Eng       Date:  2011-11-04       Impact factor: 5.379

3.  A dynamical systems analysis of afferent control in a neuromechanical model of locomotion: I. Rhythm generation.

Authors:  Lucy E Spardy; Sergey N Markin; Natalia A Shevtsova; Boris I Prilutsky; Ilya A Rybak; Jonathan E Rubin
Journal:  J Neural Eng       Date:  2011-11-04       Impact factor: 5.379

4.  A computational model for rhythmic and discrete movements in uni- and bimanual coordination.

Authors:  Renaud Ronsse; Dagmar Sternad; Philippe Lefèvre
Journal:  Neural Comput       Date:  2009-05       Impact factor: 2.026

5.  Real-time biomimetic Central Pattern Generators in an FPGA for hybrid experiments.

Authors:  Matthieu Ambroise; Timothée Levi; Sébastien Joucla; Blaise Yvert; Sylvain Saïghi
Journal:  Front Neurosci       Date:  2013-11-21       Impact factor: 4.677

6.  Microfluidic Neurons, a New Way in Neuromorphic Engineering?

Authors:  Timothée Levi; Teruo Fujii
Journal:  Micromachines (Basel)       Date:  2016-08-22       Impact factor: 2.891

7.  An FPGA-Based Silicon Neuronal Network with Selectable Excitability Silicon Neurons.

Authors:  Jing Li; Yuichi Katori; Takashi Kohno
Journal:  Front Neurosci       Date:  2012-12-24       Impact factor: 4.677

  7 in total

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