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Related Concept Videos

Electrical Synapses01:28

Electrical Synapses

Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
Neuronal Communication01:28

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
The Synapse02:47

The Synapse

Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
Synaptic Signaling01:09

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
Synaptic Signaling01:12

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Neuroplasticity01:01

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.

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Related Experiment Video

Updated: May 12, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

Adaptive neural information processing with dynamical electrical synapses.

Lei Xiao1, Dan-Ke Zhang, Yuan-Qing Li

  • 1Department of Biomedical Engineering, Shanghai Jiao Tong University Shanghai, China.

Frontiers in Computational Neuroscience
|April 19, 2013
PubMed
Summary

Dynamical electrical synapses efficiently modulate neural activity. They enable a transition to a more energy-efficient neural information coding strategy during luminance adaptation.

Keywords:
adaptationdynamical encodingelectrical synapsesinformation processingshort-term plasticity

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Electrical synapses offer efficient modulation of neuronal activity compared to chemical synapses.
  • Understanding the computational role of electrical synapses in neural information processing is crucial.

Purpose of the Study:

  • To investigate the computational role of dynamical electrical synapses in neural information processing.
  • To propose and validate a phenomenological model for short-term facilitation of electrical synapses.

Main Methods:

  • Developed a phenomenological model for electrical synapse short-term facilitation based on experimental data.
  • Analyzed neuronal firing rates and correlations during luminance adaptation.
  • Investigated information encoding strategies (firing rate vs. correlated activity).

Main Results:

  • The proposed model successfully reproduces increased neuronal correlation with decreased firing rates during luminance adaptation.
  • Dynamical electrical synapses facilitate a shift in information coding from firing rates to correlated activity.
  • This transition allows for more economical information encoding.

Conclusions:

  • Dynamical electrical synapses play a significant role in neural information processing.
  • Electrical synapses enable a more efficient coding strategy by utilizing neuronal correlations.
  • The findings suggest potential benefits for energy efficiency in neural systems.