Neural manifolds for the control of movement

JA Gallego, MG Perich, LE Miller, SA Solla - Neuron, 2017‏ - cell.com
The analysis of neural dynamics in several brain cortices has consistently uncovered low-
dimensional manifolds that capture a significant fraction of neural variability. These neural …

Improving performance of robots using human-inspired approaches: a survey

H Qiao, S Zhong, Z Chen, H Wang - Science China Information Sciences, 2022‏ - Springer
Realizing high performance of ordinary robots is one of the core problems in robotic
research. Improving the performance of ordinary robots usually relies on the collaborative …

The cortical motor areas and the emergence of motor skills: a neuroanatomical perspective

PL Strick, RP Dum, JA Rathelot - Annual Review of …, 2021‏ - annualreviews.org
What changes in neural architecture account for the emergence and expansion of dexterity
in primates? Dexterity, or skill in performing motor tasks, depends on the ability to generate …

Non-negative matrix factorisation is the most appropriate method for extraction of muscle synergies in walking and running

MF Rabbi, C Pizzolato, DG Lloyd, CP Carty… - Scientific reports, 2020‏ - nature.com
Muscle synergies provide a simple description of a complex motor control mechanism.
Synergies are extracted from muscle activation patterns using factorisation methods. Despite …

A survey of brain-inspired intelligent robots: Integration of vision, decision, motion control, and musculoskeletal systems

H Qiao, J Chen, X Huang - IEEE Transactions on Cybernetics, 2021‏ - ieeexplore.ieee.org
Current robotic studies are focused on the performance of specific tasks. However, such
tasks cannot be generalized, and some special tasks, such as compliant and precise …

Flexible neural control of motor units

NJ Marshall, JI Glaser, EM Trautmann… - Nature …, 2022‏ - nature.com
Voluntary movement requires communication from cortex to the spinal cord, where a
dedicated pool of motor units (MUs) activates each muscle. The canonical description of MU …

Neural basis for hand muscle synergies in the primate spinal cord

T Takei, J Confais, S Tomatsu, T Oya, K Seki - Proceedings of the National …, 2017‏ - pnas.org
Gras** is a highly complex movement that requires the coordination of multiple hand
joints and muscles. Muscle synergies have been proposed to be the functional building …

How to improve the muscle synergy analysis methodology?

NA Turpin, S Uriac, G Dalleau - European journal of applied physiology, 2021‏ - Springer
Muscle synergy analysis is increasingly used in domains such as neurosciences, robotics,
rehabilitation or sport sciences to analyze and better understand motor coordination. The …

Challenging human locomotion: stability and modular organisation in unsteady conditions

A Santuz, A Ekizos, N Eckardt, A Kibele… - Scientific reports, 2018‏ - nature.com
The need to move over uneven terrain is a daily challenge. In order to face unexpected
perturbations due to changes in the morphology of the terrain, the central nervous system …

Neural data-driven musculoskeletal modeling for personalized neurorehabilitation technologies

M Sartori, DG Llyod, D Farina - IEEE transactions on …, 2016‏ - ieeexplore.ieee.org
Objectives: The development of neurorehabilitation technologies requires the profound
understanding of the mechanisms underlying an individual's motor ability and impairment. A …