Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic
EU H2020 NeurONN Researchers have recently published the paper “Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic” at the journal “Frontiers in Neuromorphic Engineering”. Their work proposes a new architecture to implement robust VO2-based ONNs that exploits subharmonic injection mechanisms to solve some of the challenges arising in the design of this type of networks.
Authors: Juan Núñez, María J. Avedillo, Manuel Jiménez, José M. Quintana [Instituto de Microelectrónica de Sevilla (IMSE-CNM), CSIC and Universidad de Sevilla, Seville, Spain], Aida Todri-Sanial [Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier (LIRMM), University of Montpellier, Montpellier, France], Elisabetta Corti, Siegfried Karg [Department of Science and Technology, IBM Research – Zurich, Rüschlikon, Switzerland], Bernabé Linares-Barranco [Instituto de Microelectrónica de Sevilla (IMSE-CNM), CSIC and Universidad de Sevilla, Seville, Spain]
Paper Title
Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic
