about
Principal component analysis of M1 neurophysiology data suggests a motor-control system-architecture template.Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional brain-computer interfaceMotor control in a meta-network with attractor dynamics.Motor cortical regulation of sparse synergies provides a framework for the flexible control of precision walkingColored context cues can facilitate the ability to learn and to switch between multiple dynamical force fields.Afferent input, efference copy, signal noise, and biases in perception of joint angle during active versus passive elbow movements.Sequential activation of muscle synergies during locomotion in the intact cat as revealed by cluster analysis and direct decompositionSequential activation of motor cortical neurons contributes to intralimb coordination during reaching in the cat by modulating muscle synergiesA functional approach to modeling M1 single-unit activity recorded in three primate motor control studies
P50
Q33402140-9C958B83-0D0B-4016-BB60-38C3E73E9B31Q36267401-5D0BBC65-B43D-4094-B020-AD76DDB3607EQ36966350-40B6CF1D-FCFC-4BDE-A9B6-2C5BDA359173Q42152116-C3640AA0-A5FC-4CA1-B511-642837910947Q50522831-F39895B9-6257-41F5-AD2B-6CEE483C4604Q51910947-B5EBE0AC-1E4A-49FB-A745-FD31D6C1D89FQ79844979-03E436D0-ED74-423C-97CA-BA1AC84753D8Q82415429-F952E511-3AF3-418B-927F-06F2CBCCC516Q83226042-6292D3E0-EC3E-4503-9862-680F2C31B41F
P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Nedialko Krouchev
@ast
Nedialko Krouchev
@en
Nedialko Krouchev
@es
Nedialko Krouchev
@nl
Nedialko Krouchev
@sl
type
label
Nedialko Krouchev
@ast
Nedialko Krouchev
@en
Nedialko Krouchev
@es
Nedialko Krouchev
@nl
Nedialko Krouchev
@sl
prefLabel
Nedialko Krouchev
@ast
Nedialko Krouchev
@en
Nedialko Krouchev
@es
Nedialko Krouchev
@nl
Nedialko Krouchev
@sl
P106
P31
P496
0000-0002-7800-0911