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Related Concept Videos

Electrical Synapses01:28

Electrical Synapses

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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...
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Overview of Synapses01:25

Overview of Synapses

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A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...
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Neural Circuits01:25

Neural Circuits

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
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Chemical Synapses01:26

Chemical Synapses

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Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
Because chemical synapses depend on the release of neurotransmitter molecules from synaptic vesicles to pass on their signal, there is an approximately one millisecond delay between when the axon potential reaches the presynaptic terminal and when the neurotransmitter leads to opening of postsynaptic ion channels. Additionally, this signaling is...
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Chemical Synapses01:26

Chemical Synapses

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Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
Because chemical synapses depend on the release of neurotransmitter molecules from synaptic vesicles to pass on their signal, there is an approximately one millisecond delay between when the axon potential reaches the presynaptic terminal and when the neurotransmitter leads to opening of postsynaptic ion channels. Additionally, this signaling is...
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The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

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A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
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Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording
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Underlying Framework of All-optical Controlled Synaptic Devices for Neuromorphic Computing.

Dunan Hu1, Ruqi Yang1, Zhizhen Ye1

  • 1State Key Laboratory of Silicon and Advanced Semiconductor Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, 310058, People's Republic of China.

Nano-Micro Letters
|April 7, 2026
PubMed
Summary
This summary is machine-generated.

All-optical controlled (AOC) synaptic devices offer a solution to AI's energy and efficiency challenges. These devices use only light signals, paving the way for advanced neuromorphic computing.

Keywords:
All-optical controlArtificial synapseDesign frameworkDevice mechanismsNeuromorphic computing

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Area of Science:

  • Neuromorphic Computing
  • Artificial Intelligence Hardware
  • Device Physics

Background:

  • Rapid AI expansion necessitates solutions for high energy consumption and computational inefficiency.
  • Traditional von Neumann architectures face inherent limitations in performance and power usage.
  • All-optical controlled (AOC) synaptic devices emerge as a promising alternative.

Purpose of the Study:

  • To review the framework and motivations behind AOC synaptic devices.
  • To systematically analyze current research progress in AOC synapses.
  • To explore the potential of AOC synapses for energy-efficient neuromorphic computing.

Main Methods:

  • Review of existing literature on AOC synaptic devices.
  • Analysis of synergistic relationships between physical mechanisms, material behaviors, and device architectures.
  • Investigation of optical writing and erasing principles for information storage.

Main Results:

  • AOC synaptic devices bypass the energy costs of electrical/electro-optical signals by using exclusively optical signals.
  • Highlighting multidimensional correlations between device physics, materials, and architecture.
  • Demonstrating optical modulation of synaptic weights for neuromorphic applications.

Conclusions:

  • AOC synapses present a scalable and reproducible strategy for future device design.
  • This technology offers an ideal platform for advancing neuromorphic computing in AI.
  • AOC devices represent a substantial direction for overcoming AI's computational challenges.