Memtransistor for bio-inspired neuromorphic computing: A perspective from device physics to neural and sensory systems

Feb 1, 2026 by Minsu Nam, Hyun Yeop Cho, S. Lee, Jung Ho Yoon (APL Materials)

DOI 10.1063/5.0314289

We map memtransistors from physics to systems, showing how a gated resistive-switching device family can replicate heterosynaptic and homeostatic behaviors while suppressing sneak paths and enabling near- and in-sensor computing. If you care about making neuromorphic hardware that is both device-physics grounded and system-ready for multisensory, low-power autonomy, this perspective lays out materials, architectures, and the open problems you actually need to solve.

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