Plateau potentials

Short description: Sustained depolarized membrane states produced by regenerative ionic currents

Plateau potentials are prolonged depolarization of the neuronal membrane potential that persist for hundreds of milliseconds to several seconds following brief synaptic input or electrical stimulation.[1][2] These regenerative membrane properties arise from the activation of persistent inward currents mediated by voltage-gated ion channels, including L-type calcium channels, persistent sodium channels, and calcium-activated nonselective cation conductances.[3][4][5] The positive feedback created by these ionic mechanisms enables neurons to maintain a sustained depolarized state, or "plateau," independent of continued excitatory input.[2] This bistable behavior allows individual neurons to exist in either a hyperpolarized resting state or an elevated depolarized state.[2][1]

Plateau potentials have been described across diverse species and cell types, including invertebrate motor circuits, vertebrate spinal motoneurons, and multiple brain regions.[6][2][1] They contribute to motor control, sensory processing, synaptic plasticity, and other computations that require persistent activity and temporal integration.[7][8][2]

A schematic comparing a brief action potential with a waveform that includes a prolonged plateau phase (e.g., in some excitable cells).

A plateau phase also occurs in the cardiac action potential, where prolonged depolarization supports sustained calcium entry and contraction.[9]

* Phase 0 (depolarization): Voltage-gated fast sodium channels open, allowing influx of sodium ions.
* Phase 1 (initial repolarization): Sodium channels inactivate; voltage-gated potassium channels begin to open, allowing minor potassium efflux.
* Phase 2 (plateau): Voltage-gated calcium channels open, allowing calcium influx that can trigger calcium release from the sarcoplasmic reticulum and support contraction.
* Phase 3 (rapid repolarization): Voltage-gated slow potassium channels open, allowing major potassium efflux; calcium channels close.
* Phase 4 (resting potential): Potassium permeability dominates, helping maintain the resting membrane potential.

## Contents

* 1 Background and history
* 2 Biophysical mechanisms
* 2.1 Ionic basis
* 2.1.1 Sodium-mediated plateaus
* 2.1.2 Dendritic plateau potentials
* 2.1.3 Calcium-mediated plateaus
* 2.1.4 Termination mechanisms
* 3 Distribution across species and cell types
* 3.1 Invertebrate systems
* 3.2 Vertebrate spinal cord
* 3.3 Brain regions
* 4 Functional roles
* 4.1 Motor control and locomotion
* 4.2 Sensory processing
* 4.3 Synaptic plasticity and learning
* 4.4 Neuromodulation and network-level roles
* 5 Clinical significance
* 6 Experimental approaches
* 7 See also
* 8 References
* 9 Further reading
* 10 External links

## Background and history

The discovery and characterization of plateau potentials represents a fundamental shift in understanding neuronal computation, moving beyond the classical view of neurons as passive integrators that generate brief, stereotyped action potentials.[6][2] Early models of neural function emphasized transient responses tightly coupled to synaptic input, implicitly assuming that information processing occurred primarily on millisecond time scales. Plateau potentials challenged this assumption by demonstrating that individual neurons can maintain internally generated depolarized states long after the initiating stimulus has ended, effectively embedding a form of short-term memory within single cells.[2]

The historical development of this concept began in invertebrate systems, where large, experimentally accessible neurons enabled detailed intracellular recordings.[6] Studies in the marine mollusc Clione limacina and in the crustacean stomatogastric ganglion revealed neurons capable of sustaining depolarized plateaus that drove rhythmic motor output.[6] These findings established that plateau potentials were not experimental artifacts but functionally meaningful mechanisms underlying behavior.

Subsequent work in Aplysia demonstrated that plateau potentials could be conditionally activated by specific synaptic pathways, highlighting their dependence on circuit context rather than fixed intrinsic properties.[10] This conditionality suggested that plateau potentials could act as switch-like elements within networks, selectively engaged during particular behavioral states. The extension of these findings to vertebrate systems in the late twentieth century, particularly in spinal motoneurons, confirmed that plateau potentials were a conserved feature of nervous systems rather than a peculiarity of invertebrates.[1] Together, these discoveries laid the foundation for modern views of neurons as state-dependent computational units capable of operating across multiple temporal scales.

## Biophysical mechanisms

The generation and maintenance of plateau potentials depend on intricate interactions among multiple types of ion channels and the voltage- and calcium-dependent properties of the neuronal membrane. The biophysical basis of plateau potentials lies in the nonlinear properties of neuronal membranes, which arise from the interaction of voltage-dependent ion channels and intracellular signaling processes.[3][2] Unlike brief action potentials, which are terminated rapidly by sodium channel inactivation and potassium channel activation, plateau potentials persist because inward currents remain active over extended voltage ranges and time scales.[2]

A key feature of plateau-generating currents is their resistance to inactivation. L-type calcium channels, persistent sodium channels, and calcium-activated nonselective cation channels all activate slowly and either inactivate weakly or remain active as long as the membrane potential is depolarized.[3][4][5] This allows inward current to continue counteracting outward potassium currents, stabilizing the membrane potential at a depolarized level.

The maintenance of a plateau state reflects a balance point in which inward and outward currents are matched, producing a quasi-stable equilibrium.[2] Small perturbations around this equilibrium decay slowly, giving plateau potentials their characteristic robustness. Importantly, this balance is dynamically regulated by intracellular calcium concentration, neuromodulators, and the recent history of membrane activity, making plateau behavior highly context dependent.[2][1]

From a dynamical systems perspective, plateau potentials represent a form of bistability, where neurons transition between two stable membrane potential states in response to brief inputs.[2] This bistability enables neurons to integrate information over time and to transform transient synaptic events into sustained cellular responses, a property with profound implications for circuit function.

### Ionic basis

Plateau potentials emerge from complex interactions among multiple ionic conductances that together create positive feedback loops.[3][2] Unlike typical action potentials, which repolarize rapidly due to the dominance of outward potassium currents, plateau potentials are sustained by inward currents that either activate slowly, resist inactivation, or are recruited by intracellular calcium signaling.[3][2] These properties create a regenerative mechanism in which depolarization promotes further depolarization, stabilizing the plateau state.[3][2]

The fundamental requirement for a plateau potential is that voltage-dependent inward currents must outweigh repolarizing outward currents over a broad voltage range.[2] This condition is achieved through different channel combinations in different neuron types, reflecting the diversity of plateau mechanisms across the nervous system.[2][11] Variations in channel density, activation thresholds, and calcium sensitivity allow plateau potentials to differ in duration, amplitude, and susceptibility to modulation.

#### Sodium-mediated plateaus

Persistent or slowly inactivating sodium channels provide an alternative mechanism for generating plateau potentials in some neurons. In lumbar motoneurons of neonatal rats, these sodium-mediated plateau potentials support motor pattern generation during early development.[5] The persistent sodium current activates at subthreshold potentials and does not inactivate completely, providing a sustained inward current that can maintain depolarization.

Sodium-mediated plateaus demonstrate that different cell types employ distinct ionic mechanisms to achieve similar functional outcomes.[12] The choice between calcium-mediated and sodium-mediated mechanisms may reflect different computational requirements or different neuromodulatory control strategies. Sodium channels are more sensitive to certain drugs and toxins than calcium channels, and they may be differentially regulated by intracellular signaling pathways, providing neurons with flexibility in how they generate and control plateau potentials.

The persistent sodium current interacts with other conductances to determine the stability and duration of plateau potentials. In particular, the balance between persistent sodium current and various potassium currents determines whether a neuron will exhibit true bistability or merely a prolonged afterdepolarization. Computational modeling has shown that relatively small changes in the magnitude or voltage dependence of these currents can dramatically alter plateau behavior, suggesting that neuromodulation of these channels provides a powerful means of regulating neuronal excitability.

In substantia nigra GABAergic neurons, a calcium-activated nonselective cation conductance generates long-lasting depolarizations.[4] This mechanism represents another variation in the diverse ionic bases of plateau potentials across neuron types.[12] These channels open in response to elevated intracellular calcium and conduct both sodium and potassium ions, but with a reversal potential near –20 mV, well above typical resting potentials. When activated, they produce sustained inward current that maintains depolarization.

The calcium-activated cation current creates a positive feedback loop: depolarization opens calcium channels, calcium activates the cation current, and the cation current produces further depolarization. This regenerative cycle can be self-sustaining as long as sufficient calcium remains elevated. The termination of such plateau potentials typically requires either calcium extrusion mechanisms to reduce intracellular calcium concentration or activation of other conductances that overwhelm the inward current.

#### Dendritic plateau potentials

Dendrites are active computational sites where plateau potentials can occur locally, independent of somatic activity. This spatial compartmentalization dramatically expands the computational capacity of individual neurons, as different dendritic branches can independently enter and exit plateau states. Dendritic plateau potentials are typically mediated by NMDA receptors in conjunction with voltage-gated calcium channels, creating a mechanism for detecting coincident synaptic activity.

In thalamocortical neurons, NMDA receptor-mediated plateau potentials in dendrites amplify synaptic input, serving as decision-making nodes within dendritic trees.[13] The NMDA receptor has unique properties that make it ideal for generating dendritic plateaus. At resting potential, the NMDA receptor channel is blocked by magnesium ions, preventing current flow even when glutamate is bound. However, when the dendritic membrane depolarizes, the magnesium block is relieved, allowing calcium and sodium to flow through the channel. Because the NMDA receptor current is both ligand-gated (requiring glutamate) and voltage-dependent (requiring depolarization to relieve the magnesium block), it serves as a coincidence detector for presynaptic activity and postsynaptic depolarization.

The calcium influx through NMDA receptors during dendritic plateau potentials can activate voltage-gated calcium channels, creating regenerative depolarization that outlasts the initial synaptic input. This amplification mechanism allows dendritic branches to integrate synaptic inputs over time and generate supralinear responses when multiple inputs arrive in close temporal proximity. The threshold for triggering a dendritic plateau potential depends on the number and timing of synaptic inputs, making these events sensitive to the pattern of presynaptic activity.

In hippocampal CA1 pyramidal neurons, dendritic plateau potentials drive complex spiking patterns while the axon acts as a selective filter to ensure reliable output.[14] When a dendritic plateau potential occurs, it produces a large, prolonged depolarization at the soma, often triggering a burst of action potentials. However, the axon initial segment, where action potentials are typically initiated, has different channel properties than the dendrites and soma, and it can filter the irregular, prolonged depolarization produced by dendritic plateaus into more regular spike trains. This coupling between dendritic computation and axonal filtering allows neurons to transform complex dendritic signals into reliable output codes.

In striatal medium spiny neurons, dendritic plateau potentials are modulated by inhibitory inputs, which can suppress or terminate these extended depolarizations.[15] This inhibitory control is crucial for regulating timing in reward processing circuits. Dopamine modulation also influences the threshold for triggering dendritic plateaus in these neurons, providing a mechanism for reward signals to gate plasticity and learning. The cell-type-specific properties of dendritic plateaus in different striatal neuron populations contribute to the distinct roles these cells play in action selection and reinforcement learning.

#### Calcium-mediated plateaus

L-type calcium channels play a foundational role in many plateau potentials by providing sustained inward currents that resist inactivation.[3] These channels activate at relatively high voltages. In developing brainstem trigeminal nuclei, L-type calcium currents mediate plateau potentials in barrelette neurons, contributing to developmental plasticity of sensory maps.[3] During early postnatal development, these calcium-mediated plateaus are thought to provide a signal for activity-dependent refinement of synaptic connections. The prolonged elevation of intracellular calcium during plateau potentials can activate second messenger cascades and trigger changes in gene expression, linking electrical activity to long-term structural changes in neural circuits.

In the stomatogastric ganglion of crustaceans, calcium-dependent plateau potentials have been extensively characterized in motor neurons.[11] These studies revealed that calcium-activated nonselective cation channels contribute to plateau maintenance. When calcium enters through voltage-gated channels, it activates these cation channels, which conduct both sodium and potassium ions. However, because the reversal potential of these channels is relatively depolarized, their opening produces net inward current that sustains the plateau. This represents an elegant example of calcium serving both as a charge carrier and as a second messenger that modulates other conductances.

#### Termination mechanisms

While the initiation of plateau potentials has been extensively studied, their termination is equally important for proper neural function. Plateau potentials cannot persist indefinitely, as this would prevent neurons from responding to new inputs and could lead to pathological hyperexcitability. Several mechanisms contribute to plateau termination, including activation of outward currents, calcium-dependent inactivation of inward currents, and active termination by inhibitory inputs.[1][4][16]

Inhibitory inputs can actively terminate dendritic plateau potentials in CA1 pyramidal neurons, providing precise temporal control over these sustained depolarizations.[16] GABAergic interneurons that target the dendritic compartments of pyramidal neurons can abruptly end plateau potentials by providing strong hyperpolarizing current. This inhibitory regulation acts as a "brake" mechanism, allowing circuits to control both the duration and timing of plateau events.[16] The strategic placement of inhibitory synapses on dendrites enables precise spatiotemporal control, with different interneuron types potentially controlling plateaus in different dendritic domains.[15]

The balance between excitatory drive that maintains the plateau and inhibitory inputs that terminate it enables neurons to precisely gate the temporal windows during which synaptic integration and plasticity can occur.[2][16] This push-pull dynamic is crucial for information processing in circuits where timing matters, such as in the hippocampus during spatial navigation or in cortex during sensory processing.[1][2] Neuromodulators can adjust the excitation-inhibition balance, effectively tuning the threshold for plateau initiation and the ease of plateau termination, allowing neural circuits to adapt their dynamics to different behavioral states.[2][15]

In addition to synaptic inhibition, intrinsic cellular mechanisms contribute to plateau termination. Calcium-activated potassium channels open in response to the elevated intracellular calcium that accumulates during plateau potentials, providing outward current that opposes the inward currents maintaining the plateau.[4][3] The sodium-potassium pump, which actively extrudes sodium and imports potassium, can also contribute to plateau termination by hyperpolarizing the membrane as it clears the sodium that has accumulated during sustained activity.[1] These intrinsic termination mechanisms ensure that plateau potentials are self-limiting even in the absence of synaptic inhibition.[2]

## Distribution across species and cell types

### Invertebrate systems

The systematic investigation of plateau potentials began in the 1970s and 1980s with studies of invertebrate motor systems, where these phenomena were particularly accessible to experimental observation. The marine mollusc Clione limacina, commonly known as the sea angel, provided one of the first clear demonstrations of how plateau potentials could generate rhythmic motor patterns.[6] Researchers studying the locomotor circuits of this animal discovered that certain neurons could maintain prolonged depolarizations that drove sustained swimming movements. These observations established that plateau potentials were not merely laboratory curiosities but served essential functions in generating coordinated motor behaviors.

The stomatogastric ganglion of crustaceans emerged as another pivotal model system for understanding plateau potentials. This small neural network, which controls rhythmic movements of the stomach in lobsters and crabs, contains motor neurons that exhibit robust calcium-dependent plateau potentials.[11] The relative simplicity of this system, combined with the large size of invertebrate neurons, allowed researchers to perform detailed intracellular recordings and pharmacological manipulations. These studies revealed that calcium-activated slow inward currents were crucial for maintaining the plateau state, and that these currents created positive feedback loops that sustained depolarization long after the initial triggering stimulus had ceased.

Further insights came from studies of the sea slug Aplysia, a favorite model organism in neuroscience due to its large, identifiable neurons. Work on the Aplysia feeding central pattern generator demonstrated that plateau potentials could be conditionally activated by specific synaptic pathways.[10] This discovery was significant because it showed that plateau potentials were not simply intrinsic properties that neurons either possessed or lacked, but rather were dynamic states that could be turned on or off by circuit-level activity. In the feeding system, specific sensory inputs could trigger synaptic pathways that activated plateau potentials in motor neurons, which then drove the protraction phase of feeding movements. This conditional nature of plateau potentials suggested they could serve as a form of short-term memory, allowing the nervous system to maintain a state triggered by transient inputs.

### Vertebrate spinal cord

The recognition that plateau potentials also occurred in vertebrate nervous systems represented a major advance in the field. During the 1990s, researchers began to identify plateau-like behaviors in mammalian spinal motoneurons.[1] These studies showed that spinal motor neurons could exhibit prolonged firing in response to brief excitatory inputs, a phenomenon termed "self-sustained firing." This behavior was particularly evident in experiments where neuromodulators such as serotonin and norepinephrine were applied to spinal cord preparations. Under these conditions, a brief depolarizing stimulus could trigger minutes-long periods of sustained neuronal activity.[1][17]

The functional significance of plateau potentials in spinal motoneurons became clearer through studies of motor control and posture. These sustained depolarizations could explain how muscles maintain contraction during postural tasks without requiring continuous commands from higher brain centers.[1] The discovery of plateau potentials in motoneurons also had clinical implications, as dysregulation of these mechanisms was linked to conditions such as spasticity following spinal cord injury.[17]

### Brain regions

A transformative development in the field came with the recognition that plateau potentials could occur locally in dendrites, not just in neuronal cell bodies. This discovery fundamentally changed views of dendritic function, establishing dendrites as active computational compartments rather than passive conduits for synaptic signals. Early evidence for dendritic plateau potentials came from studies in the early 2000s showing that developing sensory neurons in the brainstem exhibited L-type calcium channel-mediated plateaus in their dendrites.[3] These dendritic events were involved in activity-dependent refinement of sensory maps during development, suggesting that plateau potentials played roles in neural development and synaptic plasticity.

The breakthrough in understanding dendritic plateau potentials in mature brain circuits came from studies of hippocampal and cortical neurons. Researchers discovered that NMDA receptors, in combination with voltage-gated calcium channels, could generate prolonged depolarizations in dendrites of thalamocortical neurons.[13] These dendritic plateaus could amplify synaptic inputs and serve as decision points within the dendritic tree. The localized nature of these events meant that different dendritic branches could independently enter plateau states, dramatically expanding the computational capacity of individual neurons.

In the CA1 region of the hippocampus, dendritic plateau potentials were found to drive complex burst firing patterns while the axon filtered these signals to produce reliable output.[14] This coupling between dendritic and somatic compartments revealed sophisticated mechanisms for transforming dendritic computation into appropriate neuronal output. Studies in striatal neurons extended these findings, showing that dendritic plateaus could be precisely regulated by inhibitory inputs that controlled their timing and duration.[15]

Contemporary research has revealed that plateau potentials are ubiquitous across the nervous system and serve diverse computational functions. The ionic mechanisms underlying plateau potentials have been shown to vary across cell types, with different neurons employing distinct combinations of calcium channels, sodium channels, and calcium-activated conductances to achieve bistable behavior.[2] This mechanistic diversity allows plateau potentials to be tuned to the specific computational requirements of different neural circuits.

Modern experimental techniques, including two-photon calcium imaging and voltage-sensitive dye imaging, have enabled visualization of plateau potentials in intact circuits and even in behaving animals.[18][19] These approaches have revealed that plateau potentials occur during natural behaviors and contribute to functions ranging from spatial navigation to sensorimotor integration. The development of sophisticated computational models has complemented experimental work, providing insights into how plateau potentials emerge from the interplay of multiple ionic conductances and how they contribute to network-level phenomena.[2]

The field continues to evolve, with recent work exploring how plateau potentials contribute to learning and memory,[7][8] how they are regulated by neuromodulation, and how their dysfunction contributes to neurological disorders.[11] Understanding plateau potentials has become essential for comprehending how neurons integrate information over time, how they implement decision-making processes, and how neural circuits generate complex behaviors.

## Functional roles

Plateau potentials serve diverse computational functions across different neural systems, reflecting their widespread occurrence and the variety of mechanisms by which they are generated and controlled.[2][1] Their ability to maintain neurons in a depolarized state for extended periods makes them ideal for tasks requiring persistent activity, temporal integration, or state-dependent processing.[2]

### Motor control and locomotion

In spinal motoneurons, plateau potentials enable sustained muscle contractions and contribute to postural control.[17] The prolonged depolarizations allow motor neurons to maintain firing without continuous synaptic drive, supporting persistent motor behaviors.[1] This property is particularly important for antigravity muscles that must maintain contraction during standing or sitting. Brief commands from descending pathways or spinal interneurons can trigger plateau potentials in motoneurons, which then sustain firing for seconds to minutes, producing sustained muscle contraction without requiring continuous excitatory input.

The ionic mechanisms underlying plateau potentials in motoneurons are subject to neuromodulation by serotonin, norepinephrine, and other neurotransmitters released by brainstem nuclei.[1] These neuromodulatory systems are active during waking and suppress plateau potentials during sleep, providing state-dependent control of motor function. Damage to these descending modulatory systems, as occurs in spinal cord injury, can lead to dysregulation of plateau potentials and contribute to spasticity and hyperreflexia.[17]

In invertebrate systems, conditional plateau potentials contribute to rhythmic motor patterns, such as feeding behaviors in Aplysia, where specific synaptic pathways activate plateau states that drive the protraction phase of feeding movements.[10] The conditional nature of these plateaus allows the same neurons to participate in different motor patterns depending on which inputs are active, providing flexibility in motor control. The study of these invertebrate systems has provided fundamental insights into how plateau potentials can be incorporated into central pattern generators to produce complex, sequential motor behaviors.

### Sensory processing

Plateau potentials contribute to sensory map development and plasticity, particularly during critical periods of development. In cortical dendrites, they serve as coincidence detectors that associate sensory inputs with behavioral outcomes.[8] The prolonged elevation of calcium during dendritic plateau potentials provides a signal for activity-dependent synaptic strengthening, allowing sensory experience to shape the structure and function of sensory circuits.

In the developing somatosensory cortex, dendritic plateau potentials in layer 5 pyramidal neurons can be triggered by the coincidence of sensory input and feedback from motor cortex.[8] This coincidence detection allows the brain to associate specific sensory patterns with the motor actions that produce them, a form of sensorimotor integration essential for learning skilled behaviors. The requirement for coincident activity implements a form of supervised learning, where feedback signals (acting as "teaching signals") indicate which sensory patterns are relevant for behavior.

### Synaptic plasticity and learning

Plateau potentials are critical mechanisms linking synaptic input to long-lasting plastic changes. Dendritic plateau potentials driven by sensory stimulation in cortical neurons can induce long-term potentiation (LTP).[8] These local depolarizations provide the calcium influx needed for synaptic strengthening, directly connecting electrical activity with plasticity mechanisms. The spatial specificity of dendritic plateaus means that plasticity can be induced selectively at synapses on the branch experiencing the plateau, while leaving other synapses unaffected.

In the hippocampus, behavioral time-scale synaptic plasticity essential for place field formation during spatial navigation arises from dendritic plateau potentials in CA1 neurons.[7] These events integrate experience-dependent inputs over seconds, bridging the temporal gap between environmental stimuli and lasting memory traces. During spatial exploration, plateau potentials in CA1 neurons are triggered when the animal enters specific locations, and this signal drives rapid plasticity of the synapses encoding that location. This mechanism solves the temporal credit assignment problem: how to strengthen synapses that were active seconds before a reward or significant event.

### Neuromodulation and network-level roles

GIRK channels gate the integration window for dendritic plateaus and thus control the induction threshold for LTP.[20][21] These potassium channels, which are activated by G protein-coupled receptors, provide tonic inhibitory current that must be overcome to trigger plateau potentials. Modulation of GIRK channel activity by neuromodulators such as acetylcholine can dynamically adjust the threshold for plateau initiation, gating when and where plasticity can occur. This neuromodulatory control provides a mechanism for behavioral state to influence learning, with plasticity favored during states of attention and arousal when neuromodulatory tone is high.

Dendritic plateau potentials enable neurons to process temporal sequences of synaptic inputs across multiple time scales.[22] This temporal integration capacity is crucial for learning tasks where causes and effects are separated in time, a computational challenge known as the temporal credit assignment problem. By maintaining a depolarized state, plateau potentials provide a cellular mechanism for neurons to detect specific temporal patterns of input and associate events that occur seconds apart, which is essential for reinforcement learning and memory formation.

The duration of plateau potentials can be matched to the temporal structure of behavioral tasks, with different neurons potentially employing different plateau durations to encode information at different timescales.[22] This heterogeneity in plateau dynamics may contribute to the brain's ability to process and remember sequences of events ranging from milliseconds to seconds. Computational models have shown that networks of neurons with plateau potentials can learn complex temporal sequences and can solve temporal credit assignment problems that would be intractable for networks of simpler neurons.

In grid cells of the entorhinal cortex, active dendritic integration involving plateau potentials serves as a mechanism for robust and precise firing patterns essential for spatial navigation.[17] Grid cells fire at multiple locations in an environment, with the firing fields arranged in a striking hexagonal grid pattern. The generation of this precise spatial firing pattern requires integration of information about the animal's movement through space, and dendritic plateau potentials contribute to the nonlinear integration processes that produce grid fields.

The dendritic computations in grid cells involve integration of velocity signals that track the animal's movements. Plateau potentials in the dendrites of grid cells may provide a mechanism for amplifying specific combinations of these velocity inputs, effectively implementing the path integration computations needed to track position. The precision and robustness of grid cell firing, which persists across a wide range of behavioral conditions, may depend on the regenerative properties of dendritic plateaus, which can produce reliable responses even when inputs are variable or noisy.

Beyond their effects on individual neurons, plateau potentials contribute to network-level computations and emergent properties of neural circuits. Neurons experiencing plateau potentials exist in a "prepared" state, making them more likely to participate in upcoming neural activity patterns.[12] This bistable property allows certain neurons to be primed for action, effectively creating a subset of cells that are ready to respond to subsequent inputs. When a neuron enters a plateau state, its input resistance increases and its threshold for spike generation decreases, making it more responsive to synaptic inputs. This increased excitability can persist for seconds, creating a form of short-term memory at the cellular level.

This ensemble-level organization supports distributed information processing, where the collective activity of multiple neurons in prepared states can represent complex information and computational states.[12] Rather than requiring sustained synaptic drive to maintain a representation, a subset of neurons in plateau states can hold information "online" with minimal ongoing input. This mechanism may be particularly important in working memory tasks, where information must be maintained over delay periods. The pattern of which neurons are in plateau states can encode specific memories or task-relevant information, with different patterns representing different items or concepts.

The dynamics of ensemble encoding with plateau potentials differ fundamentally from traditional rate-coding models. Instead of information being encoded solely in firing rates, the binary state of each neuron (plateau or not) contributes to the representation. This can increase the information capacity of neural populations and may provide robustness against noise, as the bistable states are inherently stable against small fluctuations in input. Theoretical work has shown that networks utilizing plateau potentials can implement attractor dynamics, where patterns of activity are self-sustaining and can be rapidly switched by brief inputs.

Plateau potentials in individual neurons can influence population-level neural oscillations and rhythmic activity patterns.[17] The bistable nature of neurons with plateau properties contributes to the generation and maintenance of network oscillations, as the transitions between resting and plateau states can synchronize across populations. When multiple neurons enter or exit plateau states in coordination, this can produce rhythmic fluctuations in population activity that manifest as oscillations in local field potentials.

These oscillatory dynamics are important for coordinating activity across brain regions and are implicated in various cognitive functions, including attention, memory, and sensorimotor integration.[17] Different frequency bands of oscillations may arise from neurons with different plateau durations and different patterns of connectivity. For example, slow oscillations in the delta range (1–4 Hz) may involve neurons with prolonged plateau potentials lasting hundreds of milliseconds, while faster oscillations may arise from briefer plateau events or from the interaction of plateaus with other oscillatory mechanisms.

The role of plateau potentials in network oscillations provides a link between cellular biophysics and systems-level brain function. Understanding how the ionic mechanisms that generate plateaus influence network rhythms may provide insights into oscillatory abnormalities seen in neurological and psychiatric disorders. Moreover, the neuromodulatory control of plateau potentials provides a mechanism by which brain state can influence oscillatory dynamics, with implications for attention, arousal, and consciousness.

## Clinical significance

Dysregulation of plateau potential mechanisms has been implicated in various pathological conditions affecting both the central nervous system and peripheral tissues. Understanding these mechanisms may provide novel therapeutic targets for treating neurological and neuromuscular disorders.

In mouse models of myotonia congenita, plateau potentials in muscle contribute to the prolonged muscle contractions characteristic of myotonia.[11] Myotonia congenita is caused by mutations in chloride channels that normally provide stabilizing outward current in muscle fibers. Without adequate chloride conductance, muscle cells become hyperexcitable and can enter plateau states that prolong contraction. This demonstrates how the balance of ionic conductances that normally prevents unwanted plateaus can be disrupted by genetic mutations, leading to disease.

In the spinal cord, dysregulation of plateau potentials in motoneurons contributes to spasticity following spinal cord injury.[1] After injury, the loss of descending inhibitory control and changes in neuromodulatory tone can lower the threshold for plateau initiation in motoneurons. This leads to exaggerated reflexes and sustained muscle contractions that interfere with movement. Therapeutic strategies targeting the ionic mechanisms of plateau potentials, such as calcium channel blockers or enhancers of potassium conductances, may provide new approaches for managing spasticity.

Plateau potentials may also contribute to epileptic seizures.[12] The prolonged depolarizations and repetitive firing associated with plateau potentials resemble the paroxysmal depolarization shifts seen in cortical neurons during seizures. Mutations in ion channels that enhance plateau-generating currents or reduce plateau-terminating currents could increase seizure susceptibility. Understanding the specific channel subtypes involved in pathological plateaus may enable development of more selective anticonvulsant drugs with fewer side effects.

In Parkinson's disease, changes in plateau potential mechanisms in basal ganglia neurons may contribute to motor dysfunction.[11] The balance of excitatory and inhibitory control of plateau potentials in striatal and pallidal neurons is disrupted by the loss of dopaminergic modulation, potentially contributing to the bradykinesia and rigidity characteristic of the disease. Therapies that restore normal plateau dynamics might complement existing dopamine replacement strategies.

Understanding plateau potential mechanisms may also provide insights into psychiatric conditions. Dendritic plateau potentials are crucial for synaptic plasticity and learning, and disruption of these mechanisms could contribute to cognitive deficits in conditions such as schizophrenia and autism spectrum disorder.[8] Some genetic variants associated with these conditions affect ion channels or signaling molecules involved in plateau generation, suggesting that abnormal dendritic computation may underlie aspects of these disorders.

## Experimental approaches

The study of plateau potentials has advanced through the development and application of diverse experimental techniques, each providing unique insights into different aspects of these phenomena. The choice of methods depends on the spatial and temporal scales of interest, the preparation being studied, and the specific questions being addressed.

Intracellular electrophysiology remains the gold standard for detecting and characterizing plateau potentials at the single-cell level.[21] Whole-cell patch-clamp recording allows direct measurement of membrane potential and can distinguish plateau potentials from other forms of sustained activity. By combining voltage recordings with pharmacological manipulations or genetic tools to modify specific ion channels, researchers can dissect the ionic mechanisms underlying plateaus in different cell types. Current-clamp recordings reveal the voltage trajectory during plateau potentials, while voltage-clamp recordings can isolate specific ionic currents.

Voltage-sensitive dye imaging enables visualization of electrical activity across populations of neurons simultaneously.[18] These fluorescent dyes change their optical properties in response to changes in membrane potential, allowing researchers to map the spatial distribution of plateau potentials across neural tissue. This approach has been particularly valuable for studying dendritic plateau potentials, which can be spatially restricted to individual branches and difficult to detect with somatic recordings alone.

Two-photon calcium imaging has revolutionized the study of plateau potentials in vivo.[19] Because plateau potentials typically involve substantial calcium influx, they can be detected using genetically encoded calcium indicators or synthetic calcium-sensitive dyes. Two-photon microscopy allows imaging deep in scattering tissue and can resolve activity in individual dendrites and dendritic spines. This approach has enabled researchers to observe plateau potentials in behaving animals, revealing when and where these events occur during natural behaviors.

Computational neuroscience provides complementary insights by allowing systematic exploration of how different ionic mechanisms contribute to plateau behavior.[2] Models can incorporate detailed biophysical descriptions of ion channels, allowing researchers to predict how changes in channel properties will affect plateau dynamics. Simplified models can explore the computational consequences of plateau potentials at the network level, revealing how these cellular mechanisms contribute to circuit function and behavior. The interplay between experimental work and computational modeling has been essential for advancing understanding of plateau potentials.

Optogenetic techniques enable precise control of neuronal activity with light, providing new ways to trigger and manipulate plateau potentials.[18] By expressing light-activated channels or pumps, researchers can depolarize specific neurons or neural compartments with temporal precision, allowing investigation of the conditions needed to trigger plateaus. Optogenetics can also be combined with imaging techniques, enabling all-optical interrogation of neural circuits where light is used both to perturb activity and to read out the consequences.

## See also

* Action potential
* Cardiac action potential
* Dendrite
* Sodium channel
* Potassium channel
* Calcium channel
* L-type calcium channel
* NMDA receptor
* G protein-gated ion channel
* G protein-coupled inwardly rectifying potassium channels (GIRKs)
* Central pattern generator
* Motor neuron
* Striatum
* Synaptic plasticity
* Long-term potentiation
* Neuromodulation
* Monoamine neurotransmitter
* Myotonia congenita
* Spinal cord injury
* Computational neuroscience
* Two-photon calcium imaging
* Electrophysiology

## References

1. ↑ 1.00 1.01 1.02 1.03 1.04 1.05 1.06 1.07 1.08 1.09 1.10 1.11 1.12 1.13 1.14 Schmidt-Hieber, C; Toleikyte, G; Aitchison, L; Roth, A; Clark, BA; Branco, T; Häusser, M (2017). "Active dendritic integration as a mechanism for robust and precise grid cell firing". Nature Neuroscience 20 (8): 1114–1121. doi:10.1038/nn.4582. PMID 28628104.
2. ↑ 2.00 2.01 2.02 2.03 2.04 2.05 2.06 2.07 2.08 2.09 2.10 2.11 2.12 2.13 2.14 2.15 2.16 2.17 2.18 2.19 2.20 2.21 2.22 2.23 2.24 2.25 Neveu, CL; Smolen, P; Baxter, DA; Byrne, JH (2023). "Voltage- and Calcium-Gated Membrane Currents Tune the Plateau Potential Properties of Multiple Neuron Types". Journal of Neuroscience 43 (45): 7601–7615. doi:10.1523/JNEUROSCI.0789-23.2023. PMID 37699717.
3. ↑ 3.00 3.01 3.02 3.03 3.04 3.05 3.06 3.07 3.08 3.09 Lo, F-S; Erzurumlu, RS (2002). "L-Type Calcium Channel-Mediated Plateau Potentials in Barrelette Cells During Structural Plasticity". Journal of Neurophysiology 88 (2): 794–801. doi:10.1152/jn.2002.88.2.794. PMID 12163531.
4. ↑ 4.0 4.1 4.2 4.3 4.4 Lee, CR; Tepper, JM (2007). "A Calcium-Activated Nonselective Cation Conductance Underlies the Plateau Potential in Rat Substantia Nigra GABAergic Neurons". Journal of Neuroscience 27 (24): 6531–6541. doi:10.1523/JNEUROSCI.1678-07.2007. PMID 17567814.
5. ↑ 5.0 5.1 5.2 Bouhadfane, M; Tazerart, S; Moqrich, A; Vinay, L; Brocard, F (2013). "Sodium-mediated plateau potentials in lumbar motoneurons of neonatal rats". Journal of Neuroscience 33 (39): 15626–15641. doi:10.1523/JNEUROSCI.1483-13.2013. PMID 24068829.
6. ↑ 6.0 6.1 6.2 6.3 6.4 Arshavsky, YuI; Beloozerova, IN; Orlovsky, GN; Panchin, YuV; Pavlova, GA (1985). "Control of locomotion in marine mollusc Clione limacina. I. Efferent activity during actual and fictitious swimming". Experimental Brain Research 58 (2): 255–262. doi:10.1007/BF00235307. PMID 3996496.
7. ↑ 7.0 7.1 7.2 Bittner, KC; Milstein, AD; Grienberger, C; Romani, S; Magee, JC (2017). "Behavioral time scale synaptic plasticity underlies CA1 place fields". Science 357 (6355): 1033–1036. doi:10.1126/science.aan3846. PMID 28883072. Bibcode: 2017Sci...357.1033B.
8. ↑ 8.0 8.1 8.2 8.3 8.4 8.5 Gambino, F; Pagès, S; Kehayas, V; Baptista, D; Tatti, R; Carleton, A; Holtmaat, A (2014). "Sensory-evoked LTP driven by dendritic plateau potentials in vivo". Nature 515 (7525): 116–119. doi:10.1038/nature13664. PMID 25174710. Bibcode: 2014Natur.515..116G.
9. ↑ Hinch, R (2002). "An analytical study of the physiology and pathology of the propagation of cardiac action potentials". Progress in Biophysics and Molecular Biology 78 (1): 45–81. doi:10.1016/S0079-6107(02)00006-8. PMID 12007514.
10. ↑ 10.0 10.1 10.2 Dembrow, NC; Jing, J; Brezina, V; Weiss, KR (2004). "A Specific Synaptic Pathway Activates a Conditional Plateau Potential Underlying Protraction Phase in the Aplysia Feeding Central Pattern Generator". Journal of Neuroscience 24 (22): 5230–5238. doi:10.1523/JNEUROSCI.5649-03.2004. PMID 15175393.
11. ↑ 11.0 11.1 11.2 11.3 11.4 11.5 Wang, X; Dupont, C; Grant, D; Voss, AA; Rich, MM (2023). "Plateau potentials contribute to myotonia in mouse models of myotonia congenita". Experimental Neurology 361. doi:10.1016/j.expneurol.2022.114303. PMID 36563835.
12. ↑ 12.0 12.1 12.2 12.3 12.4 Antic, SD; Hines, M; Lytton, WW (2018). "Embedded ensemble encoding hypothesis: The role of the "Prepared" cell". Journal of Neuroscience Research 96 (9): 1543–1559. doi:10.1002/jnr.24240. PMID 29633330.
13. ↑ 13.0 13.1 Augustinaite, S; Kuhn, B; Helm, PJ; Heggelund, P (2014). "NMDA Spike/Plateau Potentials in Dendrites of Thalamocortical Neurons". Journal of Neuroscience 34 (33): 10892–10905. doi:10.1523/JNEUROSCI.1205-13.2014. PMID 25122891.
14. ↑ 14.0 14.1 Apostolides, PF; Milstein, AD; Grienberger, C; Bittner, KC; Magee, JC (2016). "Axonal Filtering Allows Reliable Output during Dendritic Plateau-Driven Complex Spiking in CA1 Neurons". Neuron 89 (4): 770–783. doi:10.1016/j.neuron.2015.12.040. PMID 26833135.
15. ↑ 15.0 15.1 15.2 15.3 Du, K; Wu, Y-W; Lindroos, R; Liu, Y; Rózsa, B; Katona, G; Ding, JB; Kotaleski, JH (2017). "Cell-type–specific inhibition of the dendritic plateau potential in striatal spiny projection neurons". Proceedings of the National Academy of Sciences of the United States of America 114 (36). doi:10.1073/pnas.1704893114. PMID 28827326. Bibcode: 2017PNAS..114E7612D.
16. ↑ 16.0 16.1 16.2 16.3 Vaasjo, LO; Kotermanski, S; Patel, T; Shi, HJ; Machold, RD; Chamberland, S (2025-06-06). "Dendritic inhibition terminates plateau potentials in CA1 pyramidal neurons". bioRxiv 10.1101/2025.06.05.657434.
17. ↑ 17.0 17.1 17.2 17.3 17.4 17.5 17.6 Singer, W (2018). "Neuronal oscillations: Unavoidable and useful?". European Journal of Neuroscience 48 (7): 2389–2398. doi:10.1111/ejn.13796. PMID 29247490.
18. ↑ 18.0 18.1 18.2 Milicevic, KD; Ivanova, VO; Lovic, DD; Platisa, J; Andjus, PR; Antic, SD (2024). "Plateau depolarizations in spontaneously active neurons detected by calcium or voltage imaging". Scientific Reports 14 (1): 22787. doi:10.1038/s41598-024-70319-4. PMID 39367010. Bibcode: 2024NatSR..1422787M.
19. ↑ 19.0 19.1 Ali, F; Kwan, AC (2019). "Interpreting in vivo calcium signals from neuronal cell bodies, axons, and dendrites: A review". Neurophotonics 7 (1). doi:10.1117/1.NPh.7.1.011402. PMID 31372367.
20. ↑ Malik, R; Johnston, D (2017). "Dendritic GIRK Channels Gate the Integration Window, Plateau Potentials, and Induction of Synaptic Plasticity in Dorsal But Not Ventral CA1 Neurons". Journal of Neuroscience 37 (14): 3940–3955. doi:10.1523/JNEUROSCI.2784-16.2017. PMID 28280255.
21. ↑ 21.0 21.1 Dascal, N (1997). "Signalling via the G protein-activated K+ channels". Cellular Signalling 9 (8): 551–573. doi:10.1016/S0898-6568(97)00095-8. PMID 9429760.
22. ↑ 22.0 22.1 Leugering, J; Nieters, P; Pipa, G (2023). "Dendritic plateau potentials can process spike sequences across multiple time-scales". Frontiers in Cognition 2. doi:10.3389/fcogn.2023.1044216.

## Further reading

* Major, G; Larkum, ME; Schiller, J (2013). "Active properties of neocortical pyramidal neuron dendrites". Annual Review of Neuroscience 36: 1–24. doi:10.1146/annurev-neuro-062111-150343. PMID 23841837.
* Sjöström, PJ; Rancz, EA; Roth, A; Häusser, M (2008). "Dendritic excitability and synaptic plasticity". Physiological Reviews 88 (2): 769–840. doi:10.1152/physrev.00016.2007. PMID 18391179.
* Hounsgaard, J; Kiehn, O (1989). "Serotonin-induced bistability of turtle motoneurones caused by a nifedipine-sensitive calcium plateau potential". The Journal of Physiology 414: 265–282. doi:10.1113/jphysiol.1989.sp017687. PMID 2607432.
* Russo, RE; Hounsgaard, J (1999). "Dynamics of intrinsic electrophysiological properties in spinal cord neurones". Progress in Biophysics and Molecular Biology 72 (4): 329–365. doi:10.1016/S0079-6107(99)00011-5. PMID 10605293.
* Bittner, KC; Milstein, AD; Grienberger, C; Romani, S; Magee, JC (2017). "Behavioral time scale synaptic plasticity underlies CA1 place fields". Science 357 (6355): 1033–1036. doi:10.1126/science.aan3846. PMID 28883072. Bibcode: 2017Sci...357.1033B.
* Magó, Á; Weber, JP; Ujfalussy, BB; Makara, JK (2020). "Synaptic Plasticity Depends on the Fine-Scale Input Pattern in Thin Dendrites of CA1 Pyramidal Neurons". Journal of Neuroscience 40 (13): 2593–2605. doi:10.1523/JNEUROSCI.2071-19.2020. PMID 32047054.

## External links

* Encyclopedia of Neuroscience: Plateau Potential – A definitive definition and summary from Springer Reference.
* Voltage- and Calcium-Gated Membrane Currents Tune Plateau Potential Properties – Recent research (2023) in The Journal of Neuroscience.
* Sensory-evoked LTP driven by dendritic plateau potentials in vivo – A key study in Nature linking plateau potentials to long-term potentiation.
* Membrane Potential – NCBI Bookshelf entry providing the fundamental physics behind neuronal potentials.

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