Applied Physics · Physics
Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks
Satoshi Sunada, Tomoaki Niiyama, Kazutaka Kanno, Rin Nogami +3
2025-02-27
Neural and Evolutionary Computing · Computer Science
Multistable Physical Neural Networks
Eran Ben-Haim, Sefi Givli, Yizhar Or, Amir Gat
2024-06-04
Mesoscale and Nanoscale Physics · Physics
Nanoscale photonic neuron with biological signal processing
Joachim E. Sestoft, Thomas K. Jensen, Vidar Flodgren, Abhijit Das +7
2025-09-15
Materials Science · Physics
Programmable Multi-responsive Nanocellulose-based Hydrogels with Embodied Logic
Beatriz Arsuffi, Gilberto Siqueira, Gustav Nyström, Silvia Titotto +2
2024-10-04
Applied Physics · Physics
Realization of programmable nanomechanical lattice with both nearest-neighboring and next-nearest-neighboring couplings
Shaochun Lin, Tian Tian, Pu Huang, Peiran Yin +2
2020-09-03
Human-Computer Interaction · Computer Science
Wearable uBrain: Fabric Based-Spiking Neural Network
Frances Cleary, Witawas Srisa-an, Beatriz Gil, Jaideep Kesavan +3
2022-03-01
Applied Physics · Physics
Artificial Nanophotonic Neuron with Internal Memory for Biologically Inspired and Reservoir Network Computing
David Winge, Magnus Borgström, Erik Lind, Anders Mikkelsen
2023-09-22
Signal Processing · Electrical Eng. & Systems
Expressivity of Programmable-Metasurface-Based Physical Neural Networks: Encoding Non-Linearity, Structural Non-Linearity, and Depth
Cheima Hammami, Luc Le Magoarou, Christos Monochristou, David González-Ovejero +3
2026-03-17
Neural and Evolutionary Computing · Computer Science
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi
2018-08-09
Emerging Technologies · Computer Science
A Superconducting Nanowire-based Architecture for Neuromorphic Computing
Andres E. Lombo, Jesus E. Lares, Matteo Castellani, Chi-Ning Chou +2
2022-08-03
Signal Processing · Electrical Eng. & Systems
Wireless Physical Neural Networks (WPNNs): Opportunities and Challenges
Meng Hua, Itsik Bergel, Tolga Girici, Marco Di Renzo +1
2026-02-17