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Related Concept Videos

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...
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...
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...
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...
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...

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Related Experiment Video

Updated: May 15, 2026

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

A carbon nanotube synapse with dynamic logic and learning.

Kyunghyun Kim1, Chia-Ling Chen, Quyen Truong

  • 1Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA.

Advanced Materials (Deerfield Beach, Fla.)
|January 3, 2013
PubMed
Summary

Carbon nanotube synapses mimic brain functions using electrochemical interactions. This technology offers extremely low-energy consumption for potential neuronal network emulation.

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Related Experiment Videos

Last Updated: May 15, 2026

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Area of Science:

  • Materials Science
  • Neuroscience
  • Electrical Engineering

Background:

  • Biological synapses are fundamental to neural computation, exhibiting dynamic logic, learning, and memory.
  • Existing artificial synapse technologies face challenges in energy efficiency and functional emulation.

Purpose of the Study:

  • To develop and characterize a novel carbon nanotube (CNT)-based synapse.
  • To investigate the electrochemical mechanisms underlying CNT synapse functionality.
  • To evaluate the potential of CNT synapse circuits for low-energy neuronal network emulation.

Main Methods:

  • Fabrication of electrochemical cells utilizing carbon nanotubes (CNTs).
  • Investigation of CNT-hydrogen ion interactions to induce synaptic functions.
  • Circuit-level analysis of CNT synapse arrays for energy consumption and functional emulation.

Main Results:

  • The CNT synapse successfully emulated biological synaptic functions including dynamic logic, learning, and memory.
  • Synaptic behavior was driven by the electrochemical interactions between CNTs and hydrogen ions.
  • CNT synapse circuits demonstrated extremely low-energy consumption.

Conclusions:

  • Carbon nanotube synapses represent a promising artificial synaptic device.
  • The electrochemical mechanism provides a viable pathway for synaptic function emulation.
  • Low-energy CNT synapse circuits hold potential for future neuromorphic computing applications.