Neuroscience · Unit 4: Motor systems
Motor Units, Reflexes and Locomotion
Movements of the limbs and trunk end in the spinal cord, where motor neurons turn synaptic input into muscle force. This lesson explains how the cord grades force by recruiting motor units in order of size and by changing their firing rates, how the stretch reflex and its inhibitory partner hold a joint, how gamma motor neurons keep muscle spindles in range, and how spinal circuits make a walking rhythm on their own. Afterwards you can predict a recruitment order from Ohm's law and trace which motor neurons a stretch excites and which it inhibits.
Watch first One Stretch, Two Opposite Commands · 2:28
Tap the tendon just below your kneecap and your leg kicks, through a path in the spinal cord with only one synapse between sensor and motor neuron. The same few segments of cord decide how hard a muscle pulls, keep a joint steady and can lay down the rhythm of a step. This lesson takes those jobs one at a time.
Directions here use the spinal-cord frame: dorsal means toward the back, ventral toward the belly. Ipsilateral means on the same side of the body, and contralateral on the opposite side.
Motor units and the size principle
The cells that command skeletal muscle are alpha motor neurons, whose cell bodies sit in the ventral horn of the cord and whose axons leave through the ventral roots. Each axon branches to many muscle fibres. A motor unit is one alpha motor neuron and all the fibres it innervates; a motor pool is all the motor neurons that supply one muscle. In mature muscle each fibre is contacted by one motor neuron, after an early period of multiple innervation that synapse elimination covers; how a motor neuron gets its identity is in the motor neuron code, and how its junction is built in the neuromuscular junction.
At the junction, acetylcholine released by the motor neuron depolarizes the fibre (synaptic transmission), and normally each motor-neuron spike gives every fibre of its unit an action potential and a twitch. So the unit is the smallest piece of force the cord can command. Units differ widely: small motor neurons supply few fibres and make weak units, large ones supply many and make strong units.
When the drive to a pool rises, which units start first? Under shared input, smaller motor neurons are recruited before larger ones, the size principle. The reason is Ohm’s law. Input resistance is the voltage change a cell shows per unit of steady current injected into it (the resting membrane and passive signals). A small cell has less membrane, so fewer channels in parallel and a higher input resistance. The same synaptic current therefore depolarizes it more:
ΔV = I × R_in, so the current needed to reach threshold is I = ΔV / R_in
How synaptic currents sum on the way is the subject of synaptic integration. The order is a tendency, first measured in cats, and it holds under common input. Differences in threshold, in persistent inward currents and in neuromodulation can shift it, and separate inputs to parts of a pool can break it.
Grading force: recruitment and rate
Worked problem. Three motor neurons, S, M and L, in one pool receive the same synaptic current, ramped up from 0 at 1 nA per second. These are illustrative round numbers, in the range reported for cat lumbar motor neurons, not readings from one recording. Input resistances are S 4.0 MΩ, M 2.0 MΩ and L 1.0 MΩ. Assume steady state (the ramp is slow compared with the membrane time constant) and that each cell must depolarize 10 mV from rest to fire. That last assumption is a simplification, since real thresholds also differ.
Step 1: current to threshold. A millivolt divided by a megohm is a nanoampere.
S: 10 mV / 4.0 MΩ = 2.5 nA; M: 10 mV / 2.0 MΩ = 5.0 nA; L: 10 mV / 1.0 MΩ = 10 nA
Step 2: time to threshold. At 1 nA per second, S fires at 2.5 s, M at 5.0 s and L at 10 s. The order is smallest first.
Step 3: force. Give the units forces of 0.05 N, 0.30 N and 1.50 N. As each joins, total force goes 0.05 N, then 0.35 N, then 1.85 N. The steps get bigger as force grows, so the smallest steps come when force is low, where a small error matters most. In a real pool of many units the same logic means each new recruit adds force roughly in step with the force already present.
- Current now
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- Units firing
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- Total force
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- Recruitment time = threshold current ÷ ramp rate
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In this sketch: steady state (the ramp is slow compared with the membrane time constant), every cell needs the same 10 mV depolarization to fire, each unit is simply on or off, and circle area is drawn in proportion to 1/Rin (relative sizes, not to scale). Round numbers, the lesson’s own.
I = ΔV / Rin: with the same current in every cell, the one with the highest input resistance reaches 10 mV first. In this sketch, with steady state and equal 10 mV thresholds, the input resistances are illustrative round numbers in the cat lumbar range; the forces are the lesson’s round numbers.
Recruitment is half the story. Rate coding is the other half: an active unit can fire faster. One spike gives a twitch. If the next spike arrives before the twitch has relaxed, the second twitch adds to the first, and at high rates the twitches fuse into a smooth contraction, a tetanus. So force rises both by adding units and by driving the active ones harder.
How firing rate rises with force differs from unit to unit. Avrillon and colleagues (2024) recorded the tibialis anterior and vastus lateralis of eight people per muscle with grids of 64 surface electrodes, during contractions up to 80% of maximal force, and sorted the signals into single motor units, about 129 units per participant in tibialis anterior. After an initial steep acceleration at low force, firing rates rose between force plateaus 10% of maximal force apart by 3.5 ± 1.7 pulses per second in tibialis anterior and 2.0 ± 1.1 in vastus lateralis. Trajectories varied across units, and most fitted a logarithm better than a straight line or an exponential. The input to each motor neuron was inferred from force, not measured inside the cell.
The stretch reflex and its inhibitory partner
A muscle spindle is a stretch sensor: a capsule of small, specialized intrafusal fibres lying parallel to the ordinary extrafusal fibres that make force. Stretching the muscle stretches the spindle. Its Ia (primary) afferents respond to both the speed and the amount of stretch; its group II (secondary) afferents mainly to the amount (relaxed human muscle; reviewed by Dimitriou, 2022).
A tendon tap gives a brief stretch, and the Ia afferents fire. They enter the cord through the dorsal root and branch.
- One branch excites the motor neurons of the same muscle, the homonymous motor neurons, directly: one synapse, a monosynaptic path. The muscle contracts against the stretch.
- Another branch excites a Ia inhibitory interneuron on the same side of the cord, which inhibits the motor neurons of the antagonist, the muscle that moves the joint the other way. That path has two synapses, so it is disynaptic, and it is ipsilateral. Sherrington called this pairing of excitation and inhibition reciprocal innervation.
Only the excitatory branch to the homonymous muscle is monosynaptic. The reflex as a whole is not.
The Golgi tendon organ sits at the junction of muscle and tendon, in series with the fibres, so it signals the force the muscle makes rather than its length. Its Ib afferents act through interneurons. The textbook pathway inhibits the muscle’s own motor neurons, but Ib effects change with task and are not simply a safety cutout against tearing.
The crossed-extensor reflex is the one that crosses. A painful stimulus to one foot excites, through several interneurons, the flexors of that leg, which withdraws, and through interneurons whose axons cross the midline, the extensors of the other leg, which takes the weight. It is polysynaptic and bilateral, where the stretch reflex is local and one-sided.
What descending pathways add, and the signs that follow damage to them, are taken up in the basal ganglia and the cerebellum; diseases of motor neurons are in neurodegeneration.
Gamma: keeping the spindle in range
A spindle has a problem. When the muscle shortens, the spindle shortens too, falls slack and stops reporting. Gamma motor neurons fix this. They supply muscle spindles only, ending on the contractile poles of the intrafusal fibres. When the poles contract, the centre of the spindle, where the Ia endings wrap, is pulled taut again.
Think of a tape measure that winds itself in as the muscle shortens, so it never goes loose. When alpha and gamma motor neurons fire together, alpha-gamma coactivation, the spindle can be kept from falling slack during a contraction.
Gamma drive is not simply locked to alpha drive. Papaioannou and Dimitriou (2021) recorded single Ia afferents from wrist and finger extensors of volunteers with microneurography during an instructed delay before a reach. About 80 ms after the target was cued, Ia firing fell when the coming reach would stretch the spindle-bearing muscle, while kinematics and surface EMG showed no systematic change with the target. The principal analysis used eight afferents from six people, and separate experiments with a robot measured whole-arm stretch reflexes. The authors interpreted the results as compatible with goal-directed changes in gamma drive. Gamma neurons were not recorded, so that drive is an inference.
Rhythm without a conductor
A central pattern generator is a neural network capable of producing rhythmic output without patterned descending or sensory input. Graham Brown’s 1911 cats, with the cord cut and the dorsal roots of the hind limbs severed, still alternated ankle flexors and extensors.
Most modern evidence comes from fictive locomotion: an isolated spinal cord, usually from a newborn rodent, bathed in drugs such as NMDA and serotonin, producing alternating bursts in the ventral roots that would drive flexors and extensors. Hägglund and colleagues (2013) used optogenetics in the isolated neonatal mouse cord to activate or inhibit selected populations, and found that locomotor-like bursting could be induced on one side alone. That shows a spinal network can make rhythm. It does not show a single pacemaker cell. A 2021 review of mouse work reports that rhythm persisted after silencing or ablating each individual genetically defined ventral population it considered, so the rhythm generator is still an open question.
Sensory input still matters. In the work of Li, Garcia-Ramirez and Dougherty (2019) on cords of mice one to three days old, ankle nerve stimulation between flexor bursts could start a new flexor burst early. The network makes the rhythm and feedback adjusts its timing. For people, evidence for a spinal pattern generator is indirect; these results come from neonatal rodents and cats.
Design problem
Design an experiment to show that the mammalian spinal cord can generate a locomotor rhythm by itself, and that sensory input can reset it. Say what you record, what you predict, your controls and what your result cannot show.
One way to do it
Isolate the spinal cord of a newborn mouse (one to three days old) with ankle nerves attached, so there is no descending input and no movement feedback. Evoke activity with NMDA and serotonin in the bath; Li and colleagues (2019) used 7 µM and 8 µM. Record a flexor-related lumbar ventral root and an extensor-related one on both sides. Li and colleagues used L1 for flexor-related and L4 for extensor-related output; many laboratories use L2 and L5.
Predict that the flexor-related and extensor-related roots on one side alternate, and that the left and right roots of each pair alternate. Controls: no rhythm in saline without the drugs, and loss of the rhythm on washout.
To test resetting, first transect the ventral roots proximal to the spinal nerve, so pulses cannot travel back into the cord along motor axons, then stimulate an ankle nerve with brief trains (for example 4 to 6 pulses at 20 Hz, onsets 50 ms apart) at several phases of the cycle. Plot the time to the next flexor burst against the phase of stimulation, using unstimulated cycles as the baseline. An early burst after stimulation between flexor bursts shows resetting.
Limits: this is a neonatal cord driven by drugs, not adult or human walking. Rhythm with no patterned input shows the circuit is enough under these conditions; it does not identify a single pacemaker cell or prove that normal walking dispenses with the brain or with feedback.
How we measure it
Ventral-root recording of fictive locomotion
The spinal cord of a newborn rodent is removed into oxygenated saline, and drugs such as NMDA and serotonin evoke bursts of motor output. Electrodes on lumbar ventral roots record flexor-related and extensor-related bursts; their alternation shows a locomotor pattern with no limb moving and no brain attached.
High-density surface EMG with decomposition
Grids of many electrodes on the skin record muscle electrical activity, and a blind source separation algorithm sorts the mixture into the spike trains of individual motor units. It lets you follow dozens of units in a person, though the input to each motor neuron is inferred, not measured.
Microneurography
A fine tungsten needle inserted into a peripheral nerve in an awake person records the spikes of single sensory axons, such as a muscle spindle afferent. It shows what the spindle reports during a task, but not the gamma drive that shapes it.
Intracellular and patch recording from spinal neurons
An electrode inside or sealed onto a motor neuron or interneuron measures its membrane potential and synaptic responses while afferent nerves are stimulated. Latency and jitter of the responses suggest how many synapses lie between the afferent and the cell.
Finish line
Test yourself
8 questions
Practice and MCAT-style, with explained answers.
Next · Lesson 16
Descending Control and the Basal Ganglia
A stroke deep in the left hemisphere weakens the right side. A cut in the right half of the neck weakens the right side too. Why?
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