Extremely proud for the 1st journal publication of PhD student Corentin Delacour at the Frontiers in Neuroscience entitled “Mapping Hebbian Learning Rules to Coupling Resistances for Oscillatory Neural Networks”: https://www.frontiersin.org/articles/10.3389/fnins.2021.694549/full

In Oscillatory Neural Networks (ONNs), oscillating neurons compute in parallel and exchange information through synapses in analog domain. From the algorithmic point of view, synaptic weights are numbers whereas in hardware, they need to be mapped to real electrical devices. In this work, we propose a methodology to map Hebbian synaptic weights to ONN coupling resistances, allowing a large-scale ONN design for pattern recognition.