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Relevant bibliographies by topics / Motor control system; Neurophysiology

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Academic literature on the topic 'Motor control system; Neurophysiology'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Motor control system; Neurophysiology"

1

Zee, David S. "Adaptive Control of Eye Movements: Clinical Implications." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 21, no. 3 (1994): 177–84. http://dx.doi.org/10.1017/s0317167100041147.

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Abstract:This paper is directed primarily to clinicians who diagnose and treat patients with neurological disorders. It is an attempt to illustrate that even with modern imaging technology and other advances in laboratory testing, a thorough understanding of neurophysiology and its anatomical substrate still plays an important role in the diagnosis and management of patients with neurological diseases. One area in neurophysiology in which there has been great progress in the last few decades is the ocular motor system. Particular interest has been focused on the ways that the brain can adapt t

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Quick, Kristin M., Jessica L. Mischel, Patrick J. Loughlin, and Aaron P. Batista. "The critical stability task: quantifying sensory-motor control during ongoing movement in nonhuman primates." Journal of Neurophysiology 120, no. 5 (2018): 2164–81. http://dx.doi.org/10.1152/jn.00300.2017.

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Everyday behaviors require that we interact with the environment, using sensory information in an ongoing manner to guide our actions. Yet, by design, many of the tasks used in primate neurophysiology laboratories can be performed with limited sensory guidance. As a consequence, our knowledge about the neural mechanisms of motor control is largely limited to the feedforward aspects of the motor command. To study the feedback aspects of volitional motor control, we adapted the critical stability task (CST) from the human performance literature (Jex H, McDonnell J, Phatak A. IEEE Trans Hum Facto

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Morasso, P. "Robotic systems for motor neurophysiology: From the neural control of movement to neuromotor rehabilitation." Annals of Physical and Rehabilitation Medicine 57 (May 2014): e84. http://dx.doi.org/10.1016/j.rehab.2014.03.412.

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Chiovetto, Enrico. "The motor system plays the violin: a musical metaphor inferred from the oscillatory activity of the α-motoneuron pools during locomotion". Journal of Neurophysiology 105, № 4 (2011): 1429–31. http://dx.doi.org/10.1152/jn.01119.2010.

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Despite substantial advances in the field, particularly resulting from physiological studies in animals, the neural mechanisms underlying the generation of many motor behaviors in humans remain unclear. A recent study (Cappellini G et al. J Neurophysiol 104: 3064–3073, 2010) sheds more light on this topic. Like the string of a violin, the α-motoneuron pools in the spinal cord during locomotion show continuous and oscillatory patterns of activation. In this report, the implications and relevance of this finding are discussed in a general framework that includes neurophysiology, optimal control

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Purushothaman, Gopathy, Harold E. Bedell, Haluk Öğmen, and Saumil S. Patel. "Neurophysiology of compensation for time delays: Visual prediction is off track." Behavioral and Brain Sciences 31, no. 2 (2008): 214. http://dx.doi.org/10.1017/s0140525x0800397x.

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AbstractSpeculation by Nijhawan that visual perceptual mechanisms compensate for neural delays has no basis in the physiological properties of neurons known to be involved in motion perception and visuomotor control. Behavioral and physiological evidence is consistent with delay compensation mediated primarily by motor systems.

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Anastasio, Thomas J., and David A. Robinson. "Distributed Parallel Processing in the Vestibulo-Oculomotor System." Neural Computation 1, no. 2 (1989): 230–41. http://dx.doi.org/10.1162/neco.1989.1.2.230.

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The mechanisms of eye-movement control are among the best understood in motor neurophysiology. Detailed anatomical and physiological data have paved the way for theoretical models that have unified existing knowledge and suggested further experiments. These models have generally taken the form of black-box diagrams (for example, Robinson 1981) representing the flow of hypothetical signals between idealized signal-processing blocks. They approximate overall oculomotor behavior but indicate little about how real eye-movement signals would be carried and processed by real neural networks. Neurons

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Grooms, Dustin R., Stephen J. Page, and James A. Onate. "Brain Activation for Knee Movement Measured Days Before Second Anterior Cruciate Ligament Injury: Neuroimaging in Musculoskeletal Medicine." Journal of Athletic Training 50, no. 10 (2015): 1005–10. http://dx.doi.org/10.4085/1062-6050-50.10.02.

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Background Anterior cruciate ligament (ACL) injury has multifactorial causes encompassing mechanical, hormonal, exposure, and anatomical factors. Alterations in the central nervous system also play a role, but their influence after injury, recovery, and recurrent injury remain unknown. Modern neuroimaging techniques can be used to elucidate the underlying functional and structural alterations of the brain that predicate the neuromuscular control adaptations associated with ACL injury. This knowledge will further our understanding of the neural adaptations after ACL injury and rehabilitation an

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De Beaumont, Louis, David Mongeon, Sébastien Tremblay, et al. "Persistent Motor System Abnormalities in Formerly Concussed Athletes." Journal of Athletic Training 46, no. 3 (2011): 234–40. http://dx.doi.org/10.4085/1062-6050-46.3.234.

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Context: The known detrimental effects of sport concussions on motor system function include balance problems, slowed motor execution, and abnormal motor cortex excitability. Objective: To assess whether these concussion-related alterations of motor system function are still evident in collegiate football players who sustained concussions but returned to competition more than 9 months before testing. Design: Case-control study. Setting: University laboratory. Patients or Other Participants: A group of 21 active, university-level football players who had experienced concussions was compared wit

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Morelli, Nathan, and Matthew Hoch. "A Proposed Postural Control Theory Synthesizing Optimal Feedback Control Theory, Postural Motor Learning, and Cerebellar Supervision Learning." Perceptual and Motor Skills 127, no. 6 (2020): 1118–33. http://dx.doi.org/10.1177/0031512520930868.

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Multiple theories regarding motor learning and postural control development aim to explain how the central nervous system (CNS) acquires, adjusts, and learns postural behaviors. However, few theories of postural motor development and learning propose possible neurophysiologic correlates to support their assumptions. Evidence from behavioral and computational models support the cerebellum’s role in supervising motor learning through the production of forward internal models, corrected by sensory prediction errors. Optimal Feedback Control Theory (OFCT) states that the CNS learns new behaviors b

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Shepherd, Roberta B. "Exercise and Training to Optimize Functional Motor Performance in Stroke: Driving Neural Reorganization?" Neural Plasticity 8, no. 1-2 (2001): 121–29. http://dx.doi.org/10.1155/np.2001.121.

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Neurorehabilitation is increasingly taking account of scientific findings. Research areas directing stroke rehabilitation are neurophysiology; adaptability to use and activity; biomechanics; skill learning; and exercise science (task, context specificity). Understanding impairments and adaptations enables a reappraisal of interventions—for example,changes in motor control resulting from impairments (decreased descending inputs, reduced motor unit synchronization), secondary soft tissue changes (muscle length and stiffness changes) are adaptations to lesion and disuse. Changes in interventions

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Dissertations / Theses on the topic "Motor control system; Neurophysiology"

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Robertson, Edwin M. "Features of the neural coding of actions." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244630.

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Elias, Leonardo Abdala. "Modelagem e simulação do sistema neuromuscular responsável pelo controle do torque gerado na articulação do tornozelo." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-02102013-150228/.

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O estudo do controle neurofisiológico do movimento tem sido realizado sob várias perspectivas. Experimentos com seres humanos são realizados durante a execução de uma dada tarefa motora e, frequentemente, mediante a aplicação de estímulos externos (elétrico, magnético ou mecânico) ao sistema neuromuscular. Estes experimentos fornecem uma grande quantidade de dados referentes ao funcionamento das redes neuronais e dos atuadores biomecânicos envolvidos nos procedimentos. Entretanto, alguns achados experimentais permanecem incompreensíveis, requerendo a utilização de outros recursos para elucidar

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Gezelius, Henrik. "Studies of Spinal Motor Control Networks in Genetically Modified Mouse Models." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-109889.

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Carlsen, Anthony Nigel. "Motor preparation and the auditory startle response." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/384.

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Studies investigating human information processing have provided evidence that in some cases, movements can be prepared in advance. Although evidence for motor preparation has been shown at cortical and spinal levels, motor preparation at a subcortical level is not well described. One line of inquiry has involved the use of a startling acoustic stimulus (115-124 dB) that can act as an early trigger for pre-programmed actions in reaction time (RT) tasks. In light of this new research paradigm, the startle reflex may be used as a tool to investigate motor preparation. Here, six experiments were

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Brown, Jennifer. "Feedback motor control and the basal ganglia." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648678.

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Montgomery, Alistair Scott. "Excitability of somatic afferent pathways to the motor cortex during locomotion in the cat." Thesis, University of Bristol, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385915.

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Issa, Fadi Aziz. "Effect of Social Status on the Behavior and Neurophysiology of Crayfish." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/biology_diss/35.

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Adaptation to changing social conditions is important for many social animals. Here, the effects of social experience on the behavior and neurophysiology of the red swamp crayfish, Procambarus clarkii, were studied. Evidence is presented that shows juvenile crayfish interact and form social order, and their behavior patterns shift in accordance to social status. Dominant animals maintain a high level of aggressive behavior, while subordinates shift their behavior pattern from aggressive to submissive behavior. Adult male crayfish show similar behavior pattern during dominance formation. Howeve

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Uygur, Serdar. "An Fpga Based Bldc Motor Control System." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614104/index.pdf.

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In this thesis, position and current control systems for a brushless DC (Direct Current) motor are designed and integrated into one FPGA (Field Programmable Gate Array) chip. Experimental results are obtained by driving the brushless DC motors of Control Actuation System of a guided missile. Because of their high performance, brushless DC motors are widely used in Control Actuation Systems of guided missiles. In order to control the motor torque, current controller is designed and implemented in the FPGA. Position controller is designed to fulfill the position commands. A soft processor in the

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Turl, Gary. "A synchronised multi-motor control system using hybrid sensorless induction motor drives." Thesis, University of Nottingham, 2002. http://eprints.nottingham.ac.uk/29510/.

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The main aim of this project was to research, develop and test an induction motor drive not requiring a speed encoder, but which could be considered commercially viable by motor drives manufacturers, and which should aim to meet the follow requirements: • Dynamic torque performance and steady state speed-holding accuracy to be comparable with encodered vector controlled drives • Extensive and highly accurate knowledge of electrical and mechanical parameters of the motor and load not to be required • Extensive commissioning from an expert engineer not to be necessary • Algorithm not to rely on

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Cabib, Christopher. "Alteraciones de la excitabilidad refleja y del control motor en esclerosis múltiple." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/401656.

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INTRODUCCIÓN: En Esclerosis Múltiple (EM) el sustrato neuropatológico típicamente muestra un patrón de distribución aleatoria de lesiones desmielinizantes, con particular predilección por estructuras comisurales y subcorticales tales como el cuerpo calloso y el tronco del encéfalo. En estos pacientes, es común observar fenómenos subclínicos pocos explorados, tales como la hiperactividad facial, la lentitud motora y la falta de control motor, que pueden estar relacionados al daño encefálico multifocal que ocurre en vías neurales y circuitos específicos por alteración en los mecanismos de conduc

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Books on the topic "Motor control system; Neurophysiology"

1

N, Gantchev G., Dimitrov B, and Gatev P, eds. Motor control. Plenum Press, 1987.

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Strata, Piergiorgio, ed. The Olivocerebellar System in Motor Control. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73920-0.

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Steve, Parker. Control freak! Raintree, 2006.

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Hu, Xiuyi. Microcontroller-based DC motor speed control system. National Library of Canada, 1993.

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The neural basis of motor control. Oxford University Press, 1986.

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Cope, D. Vehicle emissions control system tampering. Environment Canada, 1988.

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Parker, Steve. Control freak!: Hormones, the brain, and the nervous system. Raintree, 2007.

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Steve, Parker. Control freak!: Hormones, the brain, and the nervous system. Raintree, 2007.

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9

Talbot, Kevin. Motor neuron disease. Oxford University Press, 2008.

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Talbot, Kevin. Motor neuron disease. Oxford University Press, 2008.

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Book chapters on the topic "Motor control system; Neurophysiology"

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Krasne, F. B. "Modes of Control over Sensory and Motor Events in a Simple System." In Neurophysiology and Psychophysiology. Routledge, 2021. http://dx.doi.org/10.4324/9781003164647-4.

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Zimmermann, M. "Regulatory Functions of the Nervous System, as Exemplified by the Spinal Motor System." In Fundamentals of Neurophysiology. Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4613-9553-9_7.

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Hunter, I., and R. Kearney. "System Identification in Motor Control: Time-Varying Techniques." In Motor Control. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_33.

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van der Brugge, Frans. "Motor Control Models." In Neurorehabilitation for Central Nervous System Disorders. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58738-7_9.

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Baev, Konstantin V. "The Spinal Motor Optimal Control System." In Biological Neural Networks: Hierarchical Concept of Brain Function. Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-4100-3_5.

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Llinás, R. R. "Electrophysiological Properties of the Olivocerebellar System." In The Olivocerebellar System in Motor Control. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73920-0_19.

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Fabianski, B., and K. Zawirski. "Switched Reluctance Motor Drive Embedded Control System." In Mechatronics 2013. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02294-9_43.

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Singh, Rajesh, Anita Gehlot, Bhupendra Singh, and Sushabhan Choudhury. "DC Motor Control System with LabVIEW GUI." In Arduino-Based Embedded Systems. CRC Press, 2017. http://dx.doi.org/10.1201/9781315162881-14.

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Singh, Rajesh, Anita Gehlot, Bhupendra Singh, and Sushabhan Choudhury. "Stepper Motor Control System with LabVIEW GUI." In Arduino-Based Embedded Systems. CRC Press, 2017. http://dx.doi.org/10.1201/9781315162881-15.

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Hong, Huo, Yao Zhiliang, and He Kebin. "Motor Vehicle Development and Air Pollution Control." In Sustainable Automotive Energy System in China. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36847-9_2.

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Conference papers on the topic "Motor control system; Neurophysiology"

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Krouchev, Nedialko I., Henrietta L. Galiana, and John F. Kalaska. "Principal component analysis of M1 neurophysiology data suggests a motor-control system-architecture template." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4649509.

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Odegard, G. M., T. L. Haut Donahue, D. A. Morrow, and K. R. Kaufman. "Constitutive Modeling of Skeletal Muscle Tissue." In ASME 2007 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2007. http://dx.doi.org/10.1115/sbc2007-175848.

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The main functions of the human musculoskeletal system are to sustain loads and provide mobility. Bones and joints themselves cannot produce movement; skeletal muscles provide the ability to move. Knowledge of muscle forces during given activities can provide insight into muscle mechanics, muscle physiology, musculoskeletal mechanics, neurophysiology, and motor control. However, clinical examinations or instrumented strength testing only provides information regarding muscle groups. Musculoskeletal models are typically needed to calculate individual muscle forces.

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Kadage, A. D., and J. D. Gawade. "Wireless Control System for Agricultural Motor." In 2009 Second International Conference on Emerging Trends in Engineering & Technology. IEEE, 2009. http://dx.doi.org/10.1109/icetet.2009.236.

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Song, Jianlin, Xiaowen Dai, and Liquan Yue. "Intelligent Control Strategy of Motor Speed Control System." In 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2019. http://dx.doi.org/10.1109/iaeac47372.2019.8997613.

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Ma Guoliang, Wang Daobo, and Wang Hongqiang. "Switched PID control of motor-load system." In 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4605634.

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Turl, G. "A synchronised multi-motor control system using sensorless induction motor drives." In International Conference on Power Electronics Machines and Drives. IEE, 2002. http://dx.doi.org/10.1049/cp:20020086.

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Prasannakumar, Nikhilesh, and C. Nagamani. "C2000 LaunchPad Based Generic Motor Control System." In 2014 Texas Instruments India Educators' Conference (TIIEC). IEEE, 2014. http://dx.doi.org/10.1109/tiiec.2014.035.

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Bandyopadhyay, Mandakinee, Subrata Chattopadhyay, and Nirupama Mandal. "Position control system of a PMDC motor." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7754785.

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Ciucur, Violeta-Vali. "Speed position control system for DC motor." In 2014 16th International Conference on Harmonics and Quality of Power (ICHQP). IEEE, 2014. http://dx.doi.org/10.1109/ichqp.2014.6842915.

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Chu, Chao-Ting, Huann-Keng Chiang, and Yung-Sheng Chang. "Wireless cloud interaction system implement motor control." In 2016 11th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT). IEEE, 2016. http://dx.doi.org/10.1109/impact.2016.7800001.

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Reports on the topic "Motor control system; Neurophysiology"

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Arimitsu, Minoru, Masaki Nakano, Yuusuke Minagawa, and Shouichi Maeda. Compound Current Control of an Innovatively Wired Two-Motor System. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0210.

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Castillo, V., D. Derryberry, Z. Huang, and T. Tallerico. Motor control system for the Expt. No. 821 Plan B compressor. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/1157478.

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Carpenter, K. E. Work plan for upgrading the 241-A-701 compressed air system and motor control center. Revision 1. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/10115168.

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