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Motor Neurons

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Robot-assisted gait training improves motor performances and modifies Motor Unit firing in poststroke patients.

European journal of physical and rehabilitation medicine
BACKGROUND: Robotics and related technologies are realizing their promise to improve the delivery of rehabilitation therapy but the mechanism by which they enhance recovery is still unknown. The electromechanical-driven gait orthosis Lokomat has demo...

Improved system identification using artificial neural networks and analysis of individual differences in responses of an identified neuron.

Neural networks : the official journal of the International Neural Network Society
Mathematical modelling is used routinely to understand the coding properties and dynamics of responses of neurons and neural networks. Here we analyse the effectiveness of Artificial Neural Networks (ANNs) as a modelling tool for motor neuron respons...

Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity.

PloS one
At around 7 months of age, human infants begin to reliably produce well-formed syllables containing both consonants and vowels, a behavior called canonical babbling. Over subsequent months, the frequency of canonical babbling continues to increase. H...

Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies.

IEEE transactions on bio-medical engineering
OBJECTIVES: The development of neurorehabilitation technologies requires the profound understanding of the mechanisms underlying an individual's motor ability and impairment. A major factor limiting this understanding is the difficulty of bridging be...