What question did this study set out to answer?

This study aims to investigate graphene oxide's capabilities in emulating neuronal functions and its application in neuromorphic computing.

January 18, 2026Open Access

Spatio-Temporal Confinement in Two-Dimensional Channels for Neuromorphic Computing

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This perspective explores neuromorphic computing outcomes using graphene oxide in dynamic biological environments, suggesting its potential.”

This study aims to investigate graphene oxide's capabilities in emulating neuronal functions and its application in neuromorphic computing.
Examined structural and functional analogies between graphene oxide membranes and biological ion channels.
Described advancements in material engineering for GO-based artificial synapses.
Evaluated synaptic emulation features such as excitatory postsynaptic currents.
Analyzed multimodal control using electric, optical, and chemical inputs.
Graphene oxide supports selective ion transport and stimuli-responsive behavior.
Successfully emulated neuronal features with sub-millisecond response times.
Demonstrated picojoule-level energy consumption in synaptic applications.
Facilitated development of neuromorphic devices for bio-inspired applications.

Zhu et al. (2026) studied this question.

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This perspective explores neuromorphic computing outcomes using graphene oxide in dynamic biological environments, suggesting its potential.”