What is NUS MoS2 Spiking Neural Network-in-Logic?

Neuromorphic computing is a way of building computer hardware inspired by the structure and function of the human brain. A known difficulty is that such systems tend to process every input feature indiscriminately, which causes excessive neuronal activation and high energy consumption. This research result is a spiking neural network-in-logic platform: front-end logic and spiking neural networks (brain-like networks that carry information in the timing of discrete spikes) are co-designed so that task-relevant inputs are selected in hardware before spikes are generated. It is built on reconfigurable molybdenum disulfide transistors that support logic, synaptic and neuronal primitives within one device platform. It was reported in Nature Electronics in 2026 by a team at the National University of Singapore and collaborators.

Written from primary sources and reference pages, and checked against them by an independent AI fact-checker. Drafted with AI assistance.