Pistolesi, Veronica & Ceni, Andrea & Milano, Gianluca & Gallicchio, Claudio. (2025). A Model of Memristive Nanowire Neuron for Recurrent Neural Networks. 479-484. 10.14428/esann/2025.ES2025-104.
Abstract: We propose a novel neural processing unit for artificial neural networks, inspired by the memristive properties of nanowires. Our analysis, framed within the Reservoir Computing paradigm, demonstrates the stability, short-term memory, and fading memory capabilities of the unit. Further experiments on assemblies of nanowire-inspired neurons show promising results in time-series classification tasks. Our introduced approach bridges analog neuromorphic hardware and AI applications, enabling efficient time series processing.
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