Abstract
This review provides a comprehensive overview of the physical mechanisms, device behaviors, and integration strategies that underpin multimodal signal processing in neuromorphic hardware. This review examines implementation strategies for multimodal integration, including signal fusion methods and processing techniques for handling cross-modal stimuli. This review categorizes multimodal neuromorphic devices into three distinct frameworks and comprehensively discusses their respective advantages and limitations.
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CITATION STYLE
Gui, A., Mu, H., Yang, R., Zhang, G., & Lin, S. (2026, December 1). Multisensory Neuromorphic Devices: From Physics to Integration. Nano-Micro Letters. Springer Science and Business Media B.V. https://doi.org/10.1007/s40820-025-01940-9
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