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Human premotor areas parse sequences into their spatial and temporal features
Katja Kornysheva, Jörn Diedrichsen
University College London
Research output
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peer-review
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Keyphrases
Temporal Features
100%
Spatial Features
100%
Premotor Area
100%
Parsing
100%
Motor Area
66%
Classification Approach
33%
Unique Functions
33%
Efficient Encoding
33%
Dissociation
33%
Unique Pattern
33%
Brain Regions
33%
Sequence Composition
33%
Spatio-temporal Trajectory
33%
Intrinsic Dynamics
33%
Sequence Features
33%
Movement Sequence
33%
Primary Motor Cortex
33%
Motor Behavior
33%
Flexible Control
33%
Premotor
33%
Skilled Performance
33%
Pattern Classification
33%
Movement Control
33%
Precision Control
33%
Spatio-temporal Combination
33%
Spatiotemporal Sequence
33%
Integrated Representation
33%
Recombination
33%
Neural Representation
33%
Functional Magnetic Resonance Imaging
33%
Neuroscience
Functional Magnetic Resonance Imaging
100%
Primary Motor Cortex
100%
Behavior (Neuroscience)
100%