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On the parametric stability of a central pattern generator

Neurocomputing, 2000
Abstract In this study, one subunit of the nerve network that gives rise to swimming oscillations in Hirudo was implemented in electronic hardware and characterized for its range and stability. Based on documentation from in-vivo studies, the network was re-created in analog VLSI hardware on a nerve-by-nerve, synapse-by-synapse basis.
Seth Wolpert, W. Otto Friesen
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Central Pattern Generators

1995
Many organisms exhibit repetitive or oscillatory patterns of muscle activity that produce rhythmic movements such as locomotion, breathing, chewing and scratching. Examples include the escape swimming of the mollusc Tritonia diomedia, the digestive rhythms of the lobster, the undulatory swimming movements of the fish or the lamprey, the stepping ...
Sharon Crook, Avis Cohen
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A model of the respiratory central pattern generator

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005
We have developed a model of the mammalian respiratory central pattern generator (rCPG) to mimic the salient characteristics of its constituent medullary neurons. This model was designed as a network of Hodgkin-Huxley type medullary neurons under the hypothesis that synaptic and network effects predominate over ionic influences in determining the ...
Behrang, Amini   +3 more
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Development of central pattern generating circuits

Current Opinion in Neurobiology, 2005
The networks that generate rhythmic motor patterns in invertebrates and vertebrates are ideal for studying the mechanisms by which functional circuits are formed during development. Rhythmic motor patterns and movements are seen embryonically, before they are needed for behavior; recent work suggests that activity in immature spinal cord networks is ...
Eve, Marder, Kristina J, Rehm
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Central pattern generators for bipedal locomotion

Journal of Mathematical Biology, 2006
Golubitsky, Stewart, Buono and Collins proposed two models for the achitecture of central pattern generators (CPGs): one for bipeds (which we call leg) and one for quadrupeds (which we call quad). In this paper we use symmetry techniques to classify the possible spatiotemporal symmetries of periodic solutions that can exist in leg (there are 10 ...
Pinto, Carla M. A., Golubitsky, Martin
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CEPAGE: A toolbox for Central Pattern Generator analysis

2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017
This paper is focused on a new object-oriented toolbox, called CEPAGE, devoted to simulation and analysis of Central Pattern Generators (CPGs). A CPG is a little group of neurons producing periodical patterns, which control rhythmic activities of animals.
LODI, MATTEO   +2 more
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Walking Pattern Generator Using an Evolutionary Central Pattern Generator

2010
For the generation of locomotion, such as walking, running or swimming, vertebrate and invertebrate animals use the Central PatternGenerator (CPG). In this paper, a walking pattern generator is proposed using an evolutionary optimized CPG. Sensory feedback pathways in CPG are proposed, which uses Force Sensing Resistor (FSR) signals.
Chang-Soo Park   +5 more
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The Central Pattern Generator: a paradigm for artificial locomotion

Soft Computing, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Key central pattern generators of the spinal cord

Journal of Neuroscience Research, 2009
AbstractIn the central nervous system (CNS), central pattern generators (CPGs) are generally considered as specialized networks that can produce oscillatory motor output in the absence of any oscillatory input. For instance, respiration and mastication are among the critical biological functions well known to be controlled by such specialized networks.
Pierre A, Guertin, Inge, Steuer
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Are central pattern generators understandable?

Behavioral and Brain Sciences, 1980
AbstractMost rhythmic behaviors are produced by a specialized ensemble of neurons found in the central nervous system. These central pattern generators (CPGs) have become a cornerstone of neuronal circuit analysis. Studying simple invertebrate nervous systems may reveal the interactions of the neurons involved in the production of rhythmic motor output.
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