EU H2020 NEURONN

EU H2020 ICT NEURONN 2020-2022 
Two-Dimensional Oscillatory Neural Networks for Energy Efficient Neuromorphic Computing

Coordinator: Dr. Aida Todri-Sanial, CNRS
Partners: 
CNRS, FR
IBM Research Zurich, Switzerland
Fraunhofer, Germany
CSIC/University of Seville, Spain
Silvaco, UK
A.I. Mergence, France

Advisory Board:
Intel, Germany
Prophesee, France

Neuro-inspired computing employs technologies that enable brain-inspired computing hardware for more efficient and adaptive intelligent systems. Mimicking the human brain and nervous system, these computing architectures are excellent candidates for solving complex and large-scale associative learning problems. 

The EU-funded NeurONN project will showcase a novel and alternative neuromorphic computing paradigm based on energy-efficient devices and architectures. In the proposed neuro-inspired computing architecture, information will be encoded in the phase of coupled oscillating neurons or oscillatory neural networks (ONN).