no code implementations • 2 Jul 2019 • Axel Uran, Coert van Gemeren, Rosanne van Diepen, Ricardo Chavarriaga, José del R. Millán
Inspired by its application in computer vision, we introduce transfer learning on electrophysiological data to enable training a model with limited amounts of data.
1 code implementation • 13 Dec 2018 • Michael Hersche, José del R. Millán, Luca Benini, Abbas Rahimi
All these methods, differing in complexity, aim to represent EEG signals in binary HD space, e. g. with 10, 000 bits.
no code implementations • 29 Jul 2015 • Serafeim Perdikis, Robert Leeb, Ricardo Chavarriaga, José del R. Millán
Importantly, we exemplify the natural extension of this methodology to any type of generative model by deriving an equivalent context-aware algorithm for variational autoencoders (VAs), thus broadening the spectrum of applicability to unsupervised deep learning with artificial neural networks.