Back to Search
Start Over
Optimal anticipatory control as a theory of motor preparation: A thalamo-cortical circuit model
- Source :
- Neuron. 109(9)
- Publication Year :
- 2020
-
Abstract
- Across a range of motor and cognitive tasks, cortical activity can be accurately described by low-dimensional dynamics unfolding from specific initial conditions on every trial. These “preparatory states” largely determine the subsequent evolution of both neural activity and behavior, and their importance raises questions regarding how they are, or ought to be, set. Here, we formulate motor preparation as optimal anticipatory control of future movements and show that the solution requires a form of internal feedback control of cortical circuit dynamics. In contrast to a simple feedforward strategy, feedback control enables fast movement preparation by selectively controlling the cortical state in the small subspace that matters for the upcoming movement. Feedback but not feedforward control explains the orthogonality between preparatory and movement activity observed in reaching monkeys. We propose a circuit model in which optimal preparatory control is implemented as a thalamo-cortical loop gated by the basal ganglia.
- Subjects :
- 0301 basic medicine
Elementary cognitive task
Orthogonality (programming)
Computer science
Models, Neurological
nullspace
Anticipatory control
Feedback
03 medical and health sciences
optimal control
0302 clinical medicine
Thalamus
Control theory
Basal ganglia
Neural Pathways
Biological neural network
medicine
Animals
Set (psychology)
neural circuits
030304 developmental biology
Cerebral Cortex
0303 health sciences
manifold
movement preparation
Movement (music)
thalamo-cortical loop
General Neuroscience
Feed forward
Haplorhini
Optimal control
Anticipation, Psychological
030104 developmental biology
medicine.anatomical_structure
Thalamo cortical
neural population dynamics
State (computer science)
Neuroscience
030217 neurology & neurosurgery
Psychomotor Performance
Motor cortex
Subjects
Details
- ISSN :
- 10974199
- Volume :
- 109
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Neuron
- Accession number :
- edsair.doi.dedup.....9867f803b5605f2fa539d76a562e982c