Search results for "Neural control"

showing 8 items of 8 documents

Motor-skill learning in an insect inspired neuro-computational control system

2017

In nature, insects show impressive adaptation and learning capabilities. The proposed computational model takes inspiration from specific structures of the insect brain: after proposing key hypotheses on the direct involvement of the mushroom bodies (MBs) and on their neural organization, we developed a new architecture for motor learning to be applied in insect-like walking robots. The proposed model is a nonlinear control system based on spiking neurons. MBs are modeled as a nonlinear recurrent spiking neural network (SNN) with novel characteristics, able to memorize time evolutions of key parameters of the neural motor controller, so that existing motor primitives can be improved. The ad…

0301 basic medicineComputer scienceBiomedical Engineeringinsect brainNonlinear controlAdaptation and learning03 medical and health sciences0302 clinical medicineMotor controllerArtificial Intelligenceinsect mushroom bodiesHypothesis and TheoryMotor skillSpiking neural networkHexapodgoal-oriented behaviorControl systemslearningbusiness.industryControl systems; Neural networks; Adaptation and learning030104 developmental biologyControl systemRobotArtificial intelligencespiking neural controllersMotor learningbusiness030217 neurology & neurosurgeryNeural networksNeuroscience
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NEURAL CONTROL OF GAIT IN PEOPLE WITH HAEMOPHILIC ARTHROPATHY

2022

La hemofilia es un trastorno hemorrágico causado por una deficiencia de los factores VIII o IX de la coagulación. Las personas con hemofilia grave pueden tener hemorragias espontáneas o hemorragias en respuesta a traumatismos menores; la mayoría de los eventos ocurren en las articulaciones y los músculos. La manifestación clínica más frecuente es la artropatía hemofílica, que resulta del sangrado intraarticular repetitivo y de la membrana sinovial inflamada, lo que puede resultar en dolor crónico y deterioro articular. El objetivo general de mi tesis fue investigar el control neural de la marcha en personas con artropatía hemofílica (PCAH). La hipótesis de mi tesis fue que control neural de…

joint damagemuscle synergyhaemophiliasurface electromyographygaitneural controlknee jointEMGSDG 3 - Good Health and Well-beingneuromuscular controlgait analysismotor controllower limbUNESCO::CIENCIAS MÉDICAS ::Patología::Hematología/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingankle jointlower limb kinematicsUNESCO::CIENCIAS MÉDICAS ::Medicina del trabajo::Rehabilitación (médica)
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Functional muscle architecture in aging

2014

fascicletrainingtendonvoimantuottoagingjoint stiffness regulationlihaksetultrasonographyneural controlmuscle mechanicsjänteetikääntyminenhermo-lihastoimintastretch-shortening cycleharjoitteluultraäänitutkimusbiomekaniikkaliikkuminenikääntyneet
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Age-related muscle activation profiles and joint stiffness regulation in repetitive hopping

2011

It is well documented that increasing effort during exercise is characterized by an increase in electromyographic activity of the relevant muscles. How aging influences this relationship is a matter of great interest. In the present study, nine young and 24 elderly subjects did repetitive hopping with maximal effort as well as with 50%, 65%, 75% and 90% intensities. During hopping joint kinematics were measured together with electromyographic activity (EMG) from the soleus, gastrocnemius medialis, gastrocnemius lateralis and tibialis anterior muscles. The results showed that agonist activation increased in both age groups with increasing intensity. The highest jumping efficiency (EMG ratio …

AgingikääntyminenStiffness controlniveljäykkyysneuraalinen ohjausStretch-shortening cycleNeural control
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Robust adaptive neural backstepping control for a class of nonlinear systems with dynamic uncertainties

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/658671 Open Access This paper is concerned with adaptive neural control of nonlinear strict-feedback systems with nonlinear uncertainties, unmodeled dynamics, and dynamic disturbances. To overcome the difficulty from the unmodeled dynamics, a dynamic signal is introduced. Radical basis function (RBF) neural networks are employed to model the packaged unknown nonlinearities, and then an adaptive neural control approach is developed by using backstepping technique. The proposed controller guarantees semiglobal boundedness of all the signals in the…

Article SubjectArtificial neural networklcsh:MathematicsApplied MathematicsSIGNAL (programming language)Basis functionAnalysis; Applied Mathematicslcsh:QA1-939Class (biology)VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Nonlinear systemControl theoryBacksteppingNeural controlAnalysisMathematics
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The Aged Lower Urinary Tract: Deficits in Neural Control Mechanisms.

2021

Bothersome urinary symptoms plague many older adults and disproportionally affect women. Underreporting of symptoms and general stigma/embarrassment associated with incontinence has negatively impacted the availability of treatments, as research cannot be championed if the severity of the problem is not apparent. Available therapeutics have limited efficacy and are often not recommended in aged patients. Lower urinary tract function has a long and rich history in animal studies; while much of the underlying anatomy has been described, including neural control mechanisms, the impact of aging has only just begun to be addressed. Recent work has provided strong evidence that neural control ove…

GeriatricsagingRC952-954.6cystometrybladderneural controlmicturitionFrontiers in aging
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Specific modulation of corticospinal and spinal excitabilities during maximal voluntary isometric, shortening and lengthening contractions in synergi…

2011

Non-technical summary  The neural control of muscle activity differs during voluntary shortening and lengthening contractions. In this paper, we show that the relative contribution of both cortical and spinal mechanisms to the modulation of neural activation is specific during lengthening contraction and differs between synergist muscles. Knowledge of spinal and corticospinal excitabilities modulations during shortening and lengthening muscle contraction improves our understanding of the processes that underlies the neural control of muscles during dynamic contractions.

Dynamic contractionsPhysiologybusiness.industrymedicine.medical_treatmentLengthening contractionIsometric exerciseAnatomyTranscranial magnetic stimulationNeural controlMedicineSilent periodMuscle activityH-reflexbusinessNeuroscienceThe Journal of Physiology
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Categorizing the Role of Respiration in Cardiovascular and Cerebrovascular Variability Interactions

2022

Objective: Respiration disturbs cardiovascular and cerebrovascular controls but its role is not fully elucidated. Methods: Respiration can be classified as a confounder if its observation reduces the strength of the causal relationship from source to target. Respiration is a suppressor if the opposite situation holds. We prove that a confounding/suppression (C/S) test can be accomplished by evaluating the sign of net redundancy/synergy balance in the predictability framework based on multivariate autoregressive modelling. In addition, we suggest that, under the hypothesis of Gaussian processes, the C/S test can be given in the transfer entropy decomposition framework as well. Experimental p…

AdultMalePhysiologyBiomedical EngineeringsynergyBlood Pressurecardiac neural controlYoung Adulthead-up tiltHeart RateHumansArterial PressureAnesthesiaPropofolAgedMultivariate autoregressive modelredundancyRespirationcerebrovascular autoregulationautonomic nervous systemheart rate variabilityMediationtransfer entropyHeartIndexesMiddle Agedsuppressiongeneral anesthesiapredictability decompositionconfoundingCerebrovascular CirculationSettore ING-INF/06 - Bioingegneria Elettronica e Informaticaautonomic nervous system; cardiac neural control; cerebrovascular autoregulation; confounding; general anesthesia; head-up tilt; heart rate variability; Multivariate autoregressive model; predictability decomposition; redundancy; suppression; synergy; transfer entropy;ProtocolsRegulation
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