Effects on hypothalamus when CPG is fed back to basal ganglia based on KIV model

Lu, Qiang; Li, Wenfeng; Tian, Jie; Zhang, Xixue

doi:10.1007/s11571-014-9302-4

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…Comparing with previous studies [19], [27], [28], the proposed model combining the fractional order CPG and the NMM has considerable dynamic characteristics that could help the researchers to derive the relation between the motor cortex and the locomotion. The dynamic properties of this model show that the NMM and the fractional order CPG states could be formed by adjusting its parameters.…”

Section: Discussionmentioning

confidence: 91%

“…Kerkman et al [26] used network analysis to investigate the relationship between anatomical and functional connectivity. The relation between the neural network and the integer order CPG was studied in the literature [19], [27], [28]. In this paper, the coupling model between the fractional order CPG and the motor cortex is built and the relationship is discussed.…”

Section: Introductionmentioning

confidence: 99%

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Relationship Between the Nonlinear Oscillator and the Motor Cortex

2019

IEEE Access

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The investigations show that the fractional calculus could be employed for complex biological systems and capture intrinsic phenomena. At the same time, the research results also show that the neural network has the characteristics of fractional calculus and its neuronal dynamics is complex. As a microneural circuit placed in the spinal cord, the central pattern generator (CPG) is supposed to have the property of fractional calculus. In order to study the application of the fractional order technique to the CPG, the fractional order CPG model is established based on the Matsuoka model. The stable conditions are given through mathematical analysis. In order to extract the relation between the motor cortex and the fractional order CPG, the coupling model between the fractional order CPG and the neural mass model (NMM) simulated the motor cortex is built. Moreover, the effects of coupling model parameters variations on the CPG and the NMM are investigated. The main findings are: first, the CPG output obtained with the fractional order is more accurate than the one obtained with the integral order. Increasing the fractional order makes the CPG output more accurate. Second, the results show that the motor cortex has corresponding modes with those of the CPG. And the NMM mode can switch in accordance with the change of fractional order. Third, the simulations also show that a new stable state in motor cortex could be produced based on the existing modes with the introduction of the fractional order CPG model. It can provide a helpful method to understand the working principles of the motor cortex.INDEX TERMS Central pattern generator, neural mass model, fractional calculus, motor cortex, limit cycle.

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Section: Discussionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Relationship Between the Nonlinear Oscillator and the Motor Cortex

2019

IEEE Access

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“…Nevertheless, although the mammalian locomotion networks have been widely studied, understanding the coupling association in these networks is still an open problem (Kiehn 2016;Roberts et al 2012). In addition, the relationship between the CPG and the motor cortex has been explored in earlier studies based on the integral-order models (Lu et al 2015;Lu and Tian 2014) and the fractional-order ones (Lu 2020). The previous investigations showed that there exists parameters space which can make the synchronization of the motor cortex optimum when the CPG is added into the motor cortex.…”

Section: Introductionmentioning

confidence: 99%

A new biological central pattern generator model and its relationship with the motor units

Wang

Tian

2021

Cogn Neurodyn

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The central pattern generator (CPG) is a key neural-circuit component of the locomotion control system. Recently, numerous molecular and genetic approaches have been proposed for investigating the CPG mechanisms. The rhythm in the CPG locomotor circuits comes from the activity in the ipsilateral excitatory neurons whose output is controlled by interneuron inhibitory connections. Conventional models for simulating the CPG mechanism are complex Hodgkin-Huxleytype models. Inspired by biological investigations and the continuous-time Matsuoka model, we propose new integralorder and fractional-order CPG models, which consider time delays and synaptic interfaces. The phase diagrams exhibit limit cycles and periodic solutions, in agreement with the CPG biological characteristics. As well, the fractional-order model shows state transitions with order variations. In addition, we investigate the relationship between the CPG and the motor units through the construction of integral-order and fractional-order coupling models. Simulations of these coupling models show that the states generated by the three motor units are in accordance with the experimentally-obtained states in previous studies. The proposed models reveal that the CPG can regulate limb locomotion patterns through connection weights and synaptic interfaces. Moreover, in comparison to the integral-order models, the fractional-order ones appear to be more effective, and hence more suitable for describing the dynamics of the CPG biological system.

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Arm motion control model based on central pattern generator

Wang

Zheng

2017

Appl. Math. Mech.-Engl. Ed.

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Effects on hypothalamus when CPG is fed back to basal ganglia based on KIV model

Cited by 5 publications

References 29 publications

Relationship Between the Nonlinear Oscillator and the Motor Cortex

Relationship Between the Nonlinear Oscillator and the Motor Cortex

A new biological central pattern generator model and its relationship with the motor units

Arm motion control model based on central pattern generator

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