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Neural manifolds for the control of movement
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 …
dimensional manifolds that capture a significant fraction of neural variability. These neural …
Improving performance of robots using human-inspired approaches: a survey
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 …
research. Improving the performance of ordinary robots usually relies on the collaborative …
Beyond simple laboratory studies: Develo** sophisticated models to study rich behavior
Psychology and neuroscience are concerned with the study of behavior, of internal cognitive
processes, and their neural foundations. However, most laboratory studies use constrained …
processes, and their neural foundations. However, most laboratory studies use constrained …
[HTML][HTML] Muscle synergies in joystick manipulation
L Cai, S Yan, C Ouyang, T Zhang, J Zhu… - Frontiers in …, 2023 - frontiersin.org
Extracting muscle synergies from surface electromyographic signals (sEMGs) during
exercises has been widely applied to evaluate motor control strategies. This study explores …
exercises has been widely applied to evaluate motor control strategies. This study explores …
Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement
Computational modeling and simulation of neuromusculoskeletal (NMS) systems enables
researchers and clinicians to study the complex dynamics underlying human and animal …
researchers and clinicians to study the complex dynamics underlying human and animal …
Muscle coactivation: definitions, mechanisms, and functions
The phenomenon of agonist-antagonist muscle coactivation is discussed with respect to its
consequences for movement mechanics (such as increasing joint apparent stiffness …
consequences for movement mechanics (such as increasing joint apparent stiffness …
One policy to control them all: Shared modular policies for agent-agnostic control
Reinforcement learning is typically concerned with learning control policies tailored to a
particular agent. We investigate whether there exists a single global policy that can …
particular agent. We investigate whether there exists a single global policy that can …
Human-in-the-loop optimization of wearable robotic devices to improve human–robot interaction: A systematic review
This article presents a systematic review on wearable robotic devices that use human-in-the-
loop optimization (HILO) strategies to improve human–robot interaction. A total of 46 HILO …
loop optimization (HILO) strategies to improve human–robot interaction. A total of 46 HILO …
Internal models in biological control
Rationality principles such as optimal feedback control and Bayesian inference underpin a
probabilistic framework that has accounted for a range of empirical phenomena in biological …
probabilistic framework that has accounted for a range of empirical phenomena in biological …
Neuromechanical principles underlying movement modularity and their implications for rehabilitation
Neuromechanical principles define the properties and problems that shape neural solutions
for movement. Although the theoretical and experimental evidence is debated, we present …
for movement. Although the theoretical and experimental evidence is debated, we present …