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🏃Frontiers

Motor Control · From intention to muscle — cortico-basal ganglia-cerebellar loops that select, time and correct movement.

Reviewed 2026-08·Sources & research·Methodology·Media credits

Open questions include how to personalise DBS, how AI prostheses close the loop, and how to measure real-world skill — not just lab reaches.

Brain–computer interfaces and adaptive stimulation are active frontiers — hype included.

Open questions

Personalised DBS

Can closed-loop stimulation match symptom dynamics?

Synergy primitives

How many true building blocks does the nervous system use?

Transfer of skill

When do lab gains generalise to cluttered life?

Aging vs disease

Which motor changes are pathology, which are adaptation?

Embodied AI control

Can robots borrow human forward-model principles usefully?

Technology

Adaptive DBS platforms

Sense biomarkers and titrate stimulation.

High-DOF neural prostheses

Decode intention with sensory feedback loops.

Markerless motion AI

Bring clinic-grade kinematics to everyday video.

Soft exosuits

Augment gait without rigid frames.

VR perturbation rehab

Controlled error exposure for adaptation.

Ethics

Enhancement vs therapy

Who accesses motor BCIs beyond clinical need?

Agency after DBS

Patients must retain narrative ownership of action.

Data from bodies

Kinematic surveillance can become workplace control.

Prefer mechanisms and base rates over “neuro-gaming” marketing.

Sources & research

  1. Error correction, sensory prediction, and adaptation in motor controlShadmehr R; et al. · 2010 · Annual Review of NeuroscienceSynthesis of prediction and adaptation in motor control.DOI
  2. Ethological Action Maps: A Paradigm Shift for the Motor CortexGraziano MSA · 2016 · Trends in Cognitive SciencesAction-map view of motor cortex organisation.DOI
  3. The basal ganglia: focused selection and inhibition of competing motor programsMink JW · 1996 · Progress in NeurobiologyCanonical basal-ganglia selection model.DOI

Media credits

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