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Dario Farina

  1. Characterization of Human Motor Units From Surface EMG Decomposition
    2016/01/19 by Dario Farina, Ales Holobar, Aleš Holobar · 31 citations
    Neuroscience · Engineering · #EEG and Brain-Computer Interfaces #Neuroscience and Neural Engineering #Muscle activation and electromyography studies
  2. The increase in muscle force after 4 weeks of strength training is mediated by adaptations in motor unit recruitment and rate coding
    2019/02/06 by Alessandro Del Vecchio, Andrea Casolo, Francesco Negro +6 · 32 citations
    Engineering · Neuroscience · #Muscle activation and electromyography studies #Transcranial Magnetic Stimulation Studies #Motor Control and Adaptation
  3. Conditional Generative Models for Simulation of EMG During Naturalistic Movements
    2022/11/03 by Shihan Ma, Ma, Shihan, Alexander Kenneth Clarke +11 · 3 citations
    Engineering · Neuroscience · #Biological Physics (physics.bio-ph) #Computational Engineering #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Finance #Machine Learning (cs.LG) #Muscle activation and electromyography studies #Signal Processing (eess.SP) #and Science (cs.CE) #electronic engineering #information engineering
  4. Specificity of early motor unit adaptations with resistive exercise training
    2024/04/30 by Alessandro Del Vecchio, Roger M. Enoka, Roger Maro Enoka +1 · 12 citations
    Engineering · Neuroscience · Medicine · #Muscle activation and electromyography studies #Motor Control and Adaptation #Sports Performance and Training
  5. TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
    2021/09/25 by Elahe Rahimian, Soheil Zabihi, Rahimian, Elahe +9 · 1 citation
    Engineering · Neuroscience · #Advanced Sensor and Energy Harvesting Materials #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Muscle activation and electromyography studies #Signal Processing (eess.SP) #electronic engineering #information engineering
  6. Building an internal model of a myoelectric prosthesis via closed-loop control for consistent and routine grasping
    2015/03/24 by Strahinja Došen, Strahinja Dosen, Marko Marković +7 · 9 citations
    Engineering · Neuroscience · #Muscle activation and electromyography studies #Motor Control and Adaptation #EEG and Brain-Computer Interfaces
  7. Common Synaptic Input, Synergies, and Size Principle: Control of Spinal Motor Neurons for Movement Generation
    2022/07/27 by François Hug, Hug, François, Simon Avrillon +5 · 1 citation
    Engineering · Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Biological sciences #Muscle activation and electromyography studies #Neurons and Cognition (q-bio.NC) #Neuroscience and Neural Engineering
  8. A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training
    2023/08/25 by Hanwen Wang, Wang, Hanwen, Yu Qi +9 · 1 citation
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Neuroscience and Neural Engineering
  9. The neural control of movement: a century of in vivo motor unit recordings is the legacy of Adrian and Bronk
    2023/12/07 by Dario Farina, Simon Gandevia, Simon C. Gandevia · 4 citations
    Engineering · Neuroscience · #Muscle activation and electromyography studies #Motor Control and Adaptation #EEG and Brain-Computer Interfaces
  10. Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios
    2024/10/04 by Shihan Ma, Ma, Shihan, Bo Hu +13 · 2 citations
    Neuroscience · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #electronic engineering #information engineering
  11. Tactile feedback is an effective instrument for the training of grasping with a prosthesis at low- and medium-force levels
    2017/05/26 by Alessandro Marco De Nunzio, Strahinja Dosen, Strahinja Došen +9 · 20 citations
    Engineering · Neuroscience · #Muscle activation and electromyography studies #Motor Control and Adaptation #Neuroscience and Neural Engineering