scholarly journals Engineering reaction–diffusion networks with properties of neural tissue

Lab on a Chip ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 714-722 ◽  
Author(s):  
Thomas Litschel ◽  
Michael M. Norton ◽  
Vardges Tserunyan ◽  
Seth Fraden
Keyword(s):  
Soft Lithography ◽  
Central Pattern Generators ◽  
Reaction Diffusion ◽  
Neural Tissue ◽  
Spatiotemporal Patterns ◽  
Pattern Generators ◽  
Diffusion Networks

The application of soft lithography to create reaction–diffusion networks capable of generating spatiotemporal patterns analogous to biological central pattern generators.

Connection Topology Selection in Central Pattern Generators by Maximizing the Gain of Information

2007 ◽  
Vol 19 (4) ◽  
pp. 974-993 ◽  
Author(s):  
Gregory R. Stiesberg ◽  
Marcelo Bussotti Reyes ◽  
Pablo Varona ◽  
Reynaldo D. Pinto ◽  
Ramón Huerta
Keyword(s):  
Theoretical Analysis ◽  
Computer Simulations ◽  
Central Pattern Generators ◽  
Rhythmic Activity ◽  
Pattern Generator ◽  
Spatiotemporal Patterns ◽  
Small Subset ◽  
Electronic Circuits ◽  
Invaluable Tool ◽  
Pattern Generators

A study of a general central pattern generator (CPG) is carried out by means of a measure of the gain of information between the number of available topology configurations and the output rhythmic activity. The neurons of the CPG are chaotic Hindmarsh-Rose models that cooperate dynamically to generate either chaotic or regular spatiotemporal patterns. These model neurons are implemented by computer simulations and electronic circuits. Out of a random pool of input configurations, a small subset of them maximizes the gain of information. Two important characteristics of this subset are emphasized: (1) the most regular output activities are chosen, and (2) none of the selected input configurations are networks with open topology. These two principles are observed in living CPGs as well as in model CPGs that are the most efficient in controlling mechanical tasks, and they are evidence that the information-theoretical analysis can be an invaluable tool in searching for general properties of CPGs.

Effect of Central Pattern Generators Depended Different Walking Strategies on Gait Ability of Patients after Stroke

2017 ◽  
Vol 27 (2) ◽  
pp. 40
Author(s):  
Hua WU ◽  
Zaihua RU ◽  
Congying XU ◽  
Xudong GU ◽  
Jianming FU
Keyword(s):  
Central Pattern Generators ◽  
Pattern Generators

Rhythmic Pattern Generation in Invertebrates

2018 ◽  
pp. 390-400
Author(s):  
Astrid A. Prinz
Keyword(s):  
Central Pattern Generators ◽  
Pattern Generation ◽  
Rhythmic Pattern ◽  
Neuronal Circuit ◽  
Neuronal Circuits ◽  
Timing Circuit ◽  
Core Components ◽  
Pattern Generators

This chapter begins by defining central pattern generators (CPGs) and proceeds to focus on one of their core components, the timing circuit. After arguing why invertebrate CPGs are particularly useful for the study of neuronal circuit operation in general, the bulk of the chapter then describes basic mechanisms of CPG operation at the cellular, synaptic, and network levels, and how different CPGs combine these mechanisms in various ways. Finally, the chapter takes a semihistorical perspective to discuss whether or not the study of invertebrate CPGs has seen its prime and what it has contributed—and may continue to offer—to a wider understanding of neuronal circuits in general.

Models of central pattern generators for quadruped locomotion

2001 ◽  
Vol 42 (4) ◽  
pp. 291-326 ◽  
Author(s):  
Pietro-Luciano Buono ◽  
Martin Golubitsky
Keyword(s):  
Central Pattern Generators ◽  
Quadruped Locomotion ◽  
Pattern Generators

scholarly journals Effect of individual spiking activity on rhythm generation of central pattern generators

2004 ◽  
Vol 58-60 ◽  
pp. 535-540 ◽  
Author(s):  
Roberto Latorre ◽  
Francisco de Borja Rodrı́guez ◽  
Pablo Varona
Keyword(s):  
Central Pattern Generators ◽  
Rhythm Generation ◽  
Pattern Generators ◽  
Spiking Activity

scholarly journals Learning to Move in Modular Robots using Central Pattern Generators and Online Optimization

2008 ◽  
Vol 27 (3-4) ◽  
pp. 423-443 ◽  
Author(s):  
Alexander Sproewitz ◽  
Rico Moeckel ◽  
Jérôme Maye ◽  
Auke Jan Ijspeert
Keyword(s):  
Central Pattern Generators ◽  
Online Optimization ◽  
Modular Robots ◽  
Pattern Generators

Central pattern generators based on Matsuoka oscillators for the locomotion of biped robots

2008 ◽  
Vol 12 (1-2) ◽  
pp. 264-269 ◽  
Author(s):  
Guang Lei Liu ◽  
Maki K. Habib ◽  
Keigo Watanabe ◽  
Kiyotaka Izumi
Keyword(s):  
Central Pattern Generators ◽  
Biped Robots ◽  
Pattern Generators
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