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Related Concept Videos

Neuroplasticity01:01

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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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Plasticity is the property where an object loses its elasticity and undergoes irreversible deformation, even after the deformation forces are eliminated. If a material deforms irreversibly without increasing stress or load, then this is called ideal plasticity. For example, when a force is applied to an aluminum rod, it changes its shape, but it does not return to its original shape once the force is removed. Plastic deformation or ductility is thus a permanent deformation or change in the...
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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.
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Electrical Synapses01:28

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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.
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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
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Ligand-gated ion channels are transmembrane proteins that play a vital role in intercellular communication and functions of the nervous system. They allow the influx of ions across the membrane once the neurotransmitter binds, allowing the subsequent transmission of electrical excitation across the neurons. Other ligand-gated ion channels, like the γ-aminobutyric acid (GABA) receptor, permit anions like chloride into the cells on the binding of the GABA molecule. Their entry into the cell...
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Ionoelastomer Synapses With Configurable Synaptic Plasticity.

Sijie Zheng1, Zhong-Da Zhang2, Xiaowei Wang1

  • 1Jiangsu Engineering Laboratory of Novel Functional Polymeric Materials, Jiangsu Key Laboratory of Advanced Negative Carbon Technologies, College of Chemistry, Suzhou Key Laboratory of Soft Material and New Energy, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, 215123, China.

Advanced Materials (Deerfield Beach, Fla.)
|August 21, 2025
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Summary

Researchers developed novel artificial synapses using ionoelastomers and semiconducting polymers. Anion selection tunes synaptic plasticity, enabling high-accuracy neural network tasks like image recognition with fewer states.

Keywords:
artificial synapseflexible electronicsionic elastomermemristor

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Area of Science:

  • Materials Science
  • Neuroscience
  • Organic Electronics

Background:

  • Artificial synapses are crucial for developing neuromorphic computing systems.
  • Existing artificial synapses often face challenges in plasticity modulation and energy efficiency.
  • Organic heterostructures offer potential for novel synaptic functionalities.

Purpose of the Study:

  • To introduce a new class of artificial synapses based on ionoelastomers and semiconducting polymers.
  • To investigate the role of anion species in modulating synaptic plasticity.
  • To demonstrate the application of these artificial synapses in emulating soft neural networks for recognition tasks.

Main Methods:

  • Fabrication of an organic heterostructure comprising an ionoelastomer and a semiconducting polymer.
  • Modulation of synaptic weights via spatial redistribution of anions in response to electrical stimuli.
  • Evaluation of device performance in handwritten digit and fashion image recognition tasks.

Main Results:

  • The ionoelastomer synapses exhibited tunable synaptic plasticity controlled by anion selection.
  • The devices demonstrated continuously programmable and nonvolatile states.
  • High recognition accuracies were achieved in emulating a soft neural network, comparable to ideal models but with only 16 discrete states.

Conclusions:

  • Ionoelastomer-based organic heterostructures represent a promising new platform for artificial synapses.
  • Anion selection provides a simple yet effective method for modulating synaptic plasticity.
  • These artificial synapses show potential for efficient and accurate neuromorphic computing applications.