Evidence map›Paper›PMID 33789082›Full record

ArticleNeuron2021

Optimal anticipatory control as a theory of motor preparation: A thalamo-cortical circuit model.

Ta-Chu Kao, Mahdieh S Sadabadi, Guillaume Hennequin

Open access · hybridAbstract read
In one paragraph

Article in Neuron, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
12.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 131 citations in OpenAlex.

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  9. Striatal ensembles specify and control granular forelimb actions.bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Ta-Chu KaoComputational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge, UK. Electronic address: tck29@cam.ac.uk.
Mahdieh S SadabadiComputational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge, UK; Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK.
Guillaume HennequinComputational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge, UK. Electronic address: g.hennequin@eng.cam.ac.uk.
University of Cambridge · GBUniversity of Sheffield · GB

Funding

Wellcome TrustWellcome Trust 202111/Z/16/Z
6 · The paper itself

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.

Indexed as

Models, NeurologicalAnimalsAnticipation, PsychologicalCerebral CortexFeedbackHaplorhiniNeural PathwaysPsychomotor PerformanceThalamusmanifoldmovement preparationneural circuitsneural population dynamicsnullspaceoptimal controlthalamo-cortical loop

Identifiers

PMID33789082
PMCPMC8111422
OpenAlexW3144044361

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.