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Updated: Aug 14, 2026
08:07
Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
Neuromorphic Devices and Computing for Sensing, Memory, and Control
Zhengguang Zhu1, Nicholas Schaffer1, Xiao Yang1,2,3,4,5
1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|August 13, 2026
Summary
Neuromorphic devices and computing mimic the nervous system for seamless human-machine integration. This review explores bioinspired designs, artificial and biological systems, and future directions in neuromorphic engineering.
Area of Science:
- Neuroscience
- Computer Science
- Bioengineering
Background:
- Neuromorphic devices are bioinspired electronic systems.
- They mimic nervous system structures and functions.
- Enabling integration between living tissues and machines.
Purpose of the Study:
- Review neuromorphic devices and computing designs.
- Emulate nervous system structure, organization, and function.
- Discuss biohybrid intelligence systems.
Main Methods:
- Mimicry of subcellular neural functions.
- Recapitulation of biological topology in device architecture.
- Emulation of neural circuits (sensory and sensorimotor).
Main Results:
- Advances in artificial and biological neuromorphic computing.
- Spiking neural networks and bioinspired learning algorithms.
- Emerging biohybrid intelligence systems using biological networks.
Conclusions:
- Key challenges and future directions in neuromorphic engineering.
- Potential milestones for biohybrid intelligence.
- Integration of biological and artificial systems.
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