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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...
Chemical Synapses01:26

Chemical Synapses

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...
Chemical Synapses01:26

Chemical Synapses

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...
Overview of Synapses01:25

Overview of Synapses

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...
Neural Circuits01:25

Neural Circuits

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...
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...

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Updated: Jun 20, 2026

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording
06:36

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

Published on: September 1, 2022

GaAs/AlGaAs optical synaptic interconnection device for neural networks.

J Ohta, M Takahashi, Y Nitta

    Optics Letters
    |September 16, 2009
    PubMed
    Summary
    This summary is machine-generated.

    Researchers developed a novel GaAs/AlGaAs optical synaptic interconnection device for neural networks. This integrated device simulates a 32-neuron system, demonstrating potential for advanced computing applications.

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    Optogenetics Identification of a Neuronal Type with a Glass Optrode in Awake Mice
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    Published on: June 28, 2018

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    Last Updated: Jun 20, 2026

    Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording
    06:36

    Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

    Published on: September 1, 2022

    Optogenetics Identification of a Neuronal Type with a Glass Optrode in Awake Mice
    07:51

    Optogenetics Identification of a Neuronal Type with a Glass Optrode in Awake Mice

    Published on: June 28, 2018

    Area of Science:

    • Optoelectronics
    • Materials Science
    • Artificial Intelligence Hardware

    Background:

    • Traditional electronic neural networks face limitations in speed and energy efficiency.
    • Optical interconnects offer a promising alternative for high-performance computing.
    • Developing integrated optical devices for neural network emulation is an active research area.

    Purpose of the Study:

    • To report the first GaAs/AlGaAs optical synaptic interconnection device for neural networks.
    • To detail the device's structure, characteristics, and fabrication.
    • To demonstrate its capability in simulating a neural system and associative memory.

    Main Methods:

    • Fabrication of a hybrid-layered structure integrating a light-emitting-diode array, interconnection matrix, and photodiode array on a GaAs substrate.
    • Characterization of the optical and electrical properties of the device.
    • Experimental simulation of a 32-neuron system and a Hopfield associative memory with three stored vectors.

    Main Results:

    • Successful fabrication of a novel GaAs/AlGaAs optical synaptic interconnection device.
    • Demonstration of the device's ability to simulate a 32-neuron system.
    • Validation of the device's functionality through experimental results of a Hopfield associative memory.

    Conclusions:

    • The developed GaAs/AlGaAs optical synaptic interconnection device represents a significant advancement in optical neural network hardware.
    • The device's integrated design and demonstrated functionality pave the way for more powerful and efficient neuromorphic computing systems.
    • Further research can explore scaling this technology for larger and more complex neural network architectures.