A neural geometry for forelimb proprioception in the cervical spinal cord

bioRxiv · 11 Nov 2026 · Preprint · Open access

Bollu, Goulding

The abstract is read at the publisher; the summary is JClub's.

Two molecularly distinct dorsal horn neuron classes in the cervical spinal cord of mice generate an ordered, low-dimensional representation of forelimb kinematics from muscle and tendon afferent input.

Why it matters: Real-time proprioceptive feedback must be transformed into a kinematic state, but the neural geometry that builds this representation in the spinal cord is unclear.
What they did: Single-unit electrophysiology in awake and anesthetized mice mapped how dorsal horn neurons encode forelimb speed, position, direction, and radially periodic firing fields that tile kinematic space.
The result: In mice reaching to spatial targets, transient afferent perturbations produced endpoint errors that are predicted by deficits in the neural code, implying spinal networks can construct this kinematic representation.

AI summary of the abstract · may contain errors · not medical advice · read the paper.

Open access
1 cites

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A neural geometry for forelimb proprioception in the cervical spinal cord

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