Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Neuroplasticity01:01

Neuroplasticity

2.0K
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.
2.0K
Long-term Potentiation01:35

Long-term Potentiation

58.8K
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.
58.8K
Long-term Potentiation01:25

Long-term Potentiation

3.7K
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
LTP can occur when...
3.7K
Plasticity00:58

Plasticity

3.1K
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...
3.1K
Integration of Synaptic Events01:28

Integration of Synaptic Events

4.3K
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...
4.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multiscale artificial spider web for comprehensive pressure sensing and human-machine interaction.

Nature communications·2026
Same author

Publisher Correction: Ultralow-voltage electrochemical organic light-emitting transistors with pinned and wide lateral recombination.

Nature materials·2026
Same author

Halide-site-substituting spacer creates quasi-two-dimensional perovskites for vapour-deposited light-emitting diodes.

Nature nanotechnology·2026
Same author

Ultralow-voltage electrochemical organic light-emitting transistors with pinned and wide lateral recombination.

Nature materials·2026
Same author

Boosting ionic conductivity of single-ion conductive polyelectrolyte elastomers via high-dielectric plasticizers.

Nature materials·2026
Same author

Pixelated quantum-dot superlattice LEDs.

Nature·2026
Same journal

A synergistic bio-electro-topological strategy based on an MXene/silk fibroin hydrogel and electrical stimulation for diabetic wound healing.

Materials horizons·2026
Same journal

Relativistic spin-momentum locking in ferromagnets.

Materials horizons·2026
Same journal

Monolithic additive manufacturing of a fluid-structure coupled architected cellular mechanical system for rate-adaptive enhanced energy dissipation.

Materials horizons·2026
Same journal

Decoupling parameters of adhesion from viscoelasticity in the human perception of stickiness <i>via</i> shear-stiffening elastomers.

Materials horizons·2026
Same journal

Thermodynamic assessment of machine learning models for solid-state synthesis prediction.

Materials horizons·2026
Same journal

Interfacial stabilization enabled by triethyl borate for high-voltage batteries with a wide temperature range.

Materials horizons·2026
See all related articles

Related Experiment Video

Updated: Feb 18, 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

8.4K

Physically reconfigurable synaptic plasticity and learning in stretchable neuromorphic systems.

Seung-Woo Lee1, Kwan-Nyeong Kim1, Sangjun Ma1

  • 1Department of Materials Science and Engineering, Seoul National University, Seoul, 08826, Republic of Korea. twlees@snu.ac.kr.

Materials Horizons
|February 17, 2026
PubMed
Summary
This summary is machine-generated.

We developed a reconfigurable neuromorphic transistor platform using an ion-conductive adhesive elastomer. This breakthrough enables adaptable synaptic plasticity in stretchable electronics for advanced artificial intelligence applications.

More Related Videos

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection
10:26

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Published on: June 13, 2017

9.2K
Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
11:56

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Published on: November 11, 2017

16.4K

Related Experiment Videos

Last Updated: Feb 18, 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

8.4K
Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection
10:26

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Published on: June 13, 2017

9.2K
Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity
11:56

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Published on: November 11, 2017

16.4K

Area of Science:

  • Materials Science
  • Neuroscience
  • Electronics Engineering

Background:

  • Wearable electronics require human-like on-device processing.
  • Achieving tunable synaptic plasticity in stretchable neuromorphic devices is challenging.
  • Conventional devices have hardwired synaptic plasticity.

Purpose of the Study:

  • To present a physically reconfigurable neuromorphic transistor platform.
  • To enable tunable synaptic plasticity for task-adaptable functions.
  • To create versatile applications for body-conformable artificial intelligence.

Main Methods:

  • Developed ion-conductive adhesive elastomer (IAE)-gated organic neuromorphic transistors (IONTs).
  • Tested mechanical resilience under 50% strain and 1000 stretching cycles.
  • Programmed IONTs with distinct synaptic plasticity using stretchable carbon nanotube or flexible gold electrodes.

Main Results:

  • IONTs maintained electrical properties and synaptic plasticity under strain.
  • Demonstrated high-accuracy classification of handwritten and spoken digits.
  • Achieved functionally distinct synaptic devices through physical reconfiguration.

Conclusions:

  • Established a stretchable neuromorphic platform with tunable synaptic plasticity.
  • Paved the way for multi-functional, body-conformable artificial intelligence hardware.
  • Enabled seamless human-body interface for advanced wearable electronics.