What question did this study set out to answer?

This research aims to investigate the implementation of a spiking neural network on hardware using photoelectroactive van der Waals synapses.

April 25, 2026

Timing‐Dependent Spiking Neural Network: Board‐Level Hardware Implementation with Photoelectroactive Van der Waals Synapses (Adv. Mater. 23/2026)

Key Points

This research aims to investigate the implementation of a spiking neural network on hardware using photoelectroactive van der Waals synapses.
Developed a printed circuit board to integrate artificial synapses and neurons.
Utilized a hardware setup to emulate biological neural networks.
Exemplified the learning principles inherent in biological systems.
Successfully created a functional hardware neural network emulating biological connectivity.
Demonstrated the integration of artificial synaptic devices and neuron circuits physically on a board.

Abstract

Timing-Dependent Spiking Neural Network The cover image visualizes a biological neural network translated into a hardware-implemented system. Biological synapses and neurons are represented alongside their artificial counterparts, realized as synaptic devices and neuron circuits. These elements are physically integrated on a printed circuit board, demonstrating a functional hardware neural network that embodies biological connectivity and learning principles in an electronic platform. More details can be found in the Research Article by Sang Min Won, Jin-Hong Park, Seyong Oh, and co-workers (DOI: 10.1002/adma.202517613).

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