Coincidence detection supported by electrical synapses is shaped by the D-type K+ current

Electrical synapses mediated by gap junctions are widespread in the mammalian brain, playing essential roles in neural circuit function. Beyond their role synchronizing neuronal activity, they also support complex computations such as coincidence detection-a circuit mechanism in which differences in input timing are encoded by the firing rates of coupled neurons, enabling preferential responses to synchronous over temporally dispersed inputs. Electrical coupling allows each neuron to act as a current sink for its partner during independent depolarizations, thereby reducing excitability. In contrast, synchronous inputs across the network minimize voltage differences through gap junctions, reducing current shunting and increasing spiking probability. However, the contribution of intrinsic neuronal properties to coincidence detection remains poorly understood. Here, we investigated this issue in the mesencephalic trigeminal (MesV) nucleus of mice, a structure composed of somatically coupled neurons. Using whole-cell recordings and pharmacological tools, we examined the role of the D-type K+ current (ID), finding that it critically shapes both the intrinsic electrophysiological properties of MesV neurons and the dynamics of electrical synaptic transmission. Its fast activation kinetics and subthreshold voltage range of activation make ID a key determinant of transmission strength and timing. Furthermore, the ID, likely mediated by Kv1 subunits, is expressed at the soma and the axon initial segment. Finally, we characterized two key parameters of coincidence detection-precision (time window for effective input summation) and gain (differential response to coincident versus dispersed inputs)-finding that ID enhances precision by accelerating membrane repolarization and reduces the gain by limiting neuronal excitability.

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Publication Details

Journal
The Journal of General Physiology
Published
2026-01-05
DOI
https://doi.org/10.1085/jgp.202513883
Citations
1
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
29.71
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article

Coincidence detection supported by electrical synapses is shaped by the D-type K+ current

Antonella Dapino, Sebastián Curti
1 citations
The Journal of General Physiology
Neural dynamics and brain function
29.71
article

Coincidence detection supported by electrical synapses is shaped by the D-type K+ current

Antonella Dapino, Sebastián Curti
article en
1 citations

Abstract

Electrical synapses mediated by gap junctions are widespread in the mammalian brain, playing essential roles in neural circuit function. Beyond their role synchronizing neuronal activity, they also support complex computations such as coincidence detection-a circuit mechanism in which differences in input timing are encoded by the firing rates of coupled neurons, enabling preferential responses to synchronous over temporally dispersed inputs. Electrical coupling allows each neuron to act as a current sink for its partner during independent depolarizations, thereby reducing excitability. In contrast, synchronous inputs across the network minimize voltage differences through gap junctions, reducing current shunting and increasing spiking probability. However, the contribution of intrinsic neuronal properties to coincidence detection remains poorly understood. Here, we investigated this issue in the mesencephalic trigeminal (MesV) nucleus of mice, a structure composed of somatically coupled neurons. Using whole-cell recordings and pharmacological tools, we examined the role of the D-type K+ current (ID), finding that it critically shapes both the intrinsic electrophysiological properties of MesV neurons and the dynamics of electrical synaptic transmission. Its fast activation kinetics and subthreshold voltage range of activation make ID a key determinant of transmission strength and timing. Furthermore, the ID, likely mediated by Kv1 subunits, is expressed at the soma and the axon initial segment. Finally, we characterized two key parameters of coincidence detection-precision (time window for effective input summation) and gain (differential response to coincident versus dispersed inputs)-finding that ID enhances precision by accelerating membrane repolarization and reduces the gain by limiting neuronal excitability.

The Journal of General PhysiologyVol. 158(2)
Universidad de la República de Uruguay (UY)
Openalex Percentile: Top 1%
Neural dynamics and brain function
29.71
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Coincidence detection supported by electrical synapses is shaped by the D-type K+ current — Antonella Dapino, Sebastián Curti · The Journal of General Physiology (2026) | TGRS Research Map | TGRS