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Related Concept Videos

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...
Integration of Synaptic Events01:28

Integration of Synaptic Events

Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
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...

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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Single-Molecule Memristor Realizing Synaptic Plasticity for Neuromorphic Applications.

Li-Yu-Yang Shi1, Yun-Tao Ding1, Xiao-Di Liu1

  • 1Department: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.

Angewandte Chemie (International Ed. in English)
|June 23, 2026
PubMed
Summary

Researchers developed the first optoelectronic single-molecule memristor using Y6 material. This device mimics synaptic behavior for neuromorphic computing and achieves high accuracy in speech recognition tasks.

Keywords:
molecular electronicsneuromorphic applicationsshort‐term plasticitysingle‐molecule devicesvolatile memristor

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Area of Science:

  • Materials Science
  • Neuroscience
  • Computer Engineering

Background:

  • The von Neumann bottleneck limits traditional computing performance.
  • Neuromorphic computing, especially memristor-based systems, offers a solution.
  • Single-molecule devices promise high integration density and low energy consumption for future computing.

Purpose of the Study:

  • To develop the first optoelectronic volatile single-molecule memristor.
  • To investigate its potential for neuromorphic computing applications.
  • To demonstrate synaptic functionality and integration into artificial neural networks.

Main Methods:

  • Fabrication of a single-molecule memristor using the organic photovoltaic material Y6.
  • Characterization of its electrical and optoelectronic properties.
  • Evaluation of its performance in an artificial neural network for speech recognition.

Main Results:

  • The Y6 memristor demonstrated reproducible, gradual, and linear conductance modulation mimicking synaptic behavior.
  • Optoelectronic properties showed a 457% conductance increase under red light with low-power operation.
  • Short-term synaptic plasticity was reproduced, and the device achieved 71.50% speech recognition accuracy in an ANN.

Conclusions:

  • This work pioneers synaptic functionality in a single-molecule memristor.
  • The Y6 memristor shows potential for highly integrated, molecular-scale neuromorphic computing.
  • It offers a new strategy for advancing next-generation computing architectures.