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Related Experiment Video

Updated: Feb 16, 2026

Visualizing Visual Adaptation

Visualizing Visual Adaptation

Published on: April 24, 2017

Intrinsically stretchable all-polymer neuromorphic visual adaptive transistors based on

Chengyu Wang^1,2,3, Mingcong Qin^1,2, Jianzhe Sun^1,2

¹Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry Chinese Academy of Sciences, Beijing, China.

Nature Communications

|February 14, 2026

Summary

Researchers developed intrinsically stretchable neuromorphic visual adaptive transistors using a novel photosensitive material. These devices offer ultrafast adaptive times and high energy savings for advanced wearable intelligent vision systems.

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Area of Science:

Materials Science
Neuroscience
Optoelectronics

Background:

Wearable intelligent vision systems require stretchable neuromorphic optoelectronics for real-time perception and adaptive processing.
Existing bionic vision devices lack deformable photosensitive materials and have complex manufacturing, limiting ductility and multifunctionality.

Purpose of the Study:

To develop intrinsically stretchable neuromorphic visual adaptive transistors with both ductility and multifunctionality.
To address the limitations of current bionic vision devices.

Main Methods:

Fabrication of a defect-tunable viscoelastic photosensitive bulk-heterojunction using multidimensional-phase-separation-induced micromesh.
Integration into all-organic intrinsically stretchable neuromorphic visual adaptive transistors.

Main Results:

Maintained high photosensitivity and multimodal broad-wavelength photoadaptation under 100% biaxial strain.
Achieved a record-ultrafast adaptive time of 0.4s with an 88.4% energy-saving ratio.
Demonstrated a low paired-pulse depression index (44.37%) for reduced abnormal discharges and restored neural network function.

Conclusions:

The developed all-organic intrinsically stretchable visual adaptive transistors offer superior performance for bionic visual adaptive systems.
Potential applications include encrypted wireless optical communications, advanced driving assistance systems, visual cryptography, bioinspired robots, and unmanned intelligence.