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A dynamical neural network model for motor cortical activity during movement: population coding of movement trajectories
A. V. Lukashin
,
A. P. Georgopoulos
Neuroscience
Research output
:
Contribution to journal
›
Article
›
peer-review
37
Scopus citations
Overview
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Dive into the research topics of 'A dynamical neural network model for motor cortical activity during movement: population coding of movement trajectories'. Together they form a unique fingerprint.
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Keyphrases
Artificial Neural Network
14%
Coupled Nonlinear Equations
14%
Covariation
14%
Directional Tuning
14%
Drawing Task
14%
Dynamical Behavior
42%
Dynamical Model
14%
Dynamical Neural Network
100%
External Inputs
14%
Geometrical Parameters
14%
Hand Movement
14%
Motor Cortex Excitability
100%
Movement Trajectory
100%
Neural Network Model
100%
Neuronal Population
71%
Population Coding
100%
Population Vector
100%
Tangential Velocity
14%
Vector Operation
14%
Mathematics
Artificial Neural Network
14%
Direction-Dependent
14%
Dynamical Model
14%
Network Model
100%
Neural Network
100%
nonlinear differential equation
14%
Population Vector
100%
Time Series
14%
Time Series Analysis
14%
Neuroscience
Artificial Neural Network
33%
Behavior (Neuroscience)
100%
Neural Network
100%