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IFMBE2019Challenge-BCIAUT-P300

Models and code used for the IFMBE Scientific Challenge 2019. The models were trained and tested using tensorflow-gpu v1.15.0 and keras v2.3.1. The computer had the following characteristics: Windows 10, NVIDIA GeForce GTX 1050 Ti, Intel Core i7-7700, 32GB RAM.

Reference

Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Javier Gomez-Pilar, Roberto Hornero, Deep learning architecture based on the combination of convolutional and recurrent layers for ERP-based brain-computer interfaces, XV Mediterranean Conference on Medical and Biological Engineering and Computing, pp. 1844-1852, Coimbra (Portugal), 26 Septiembre - 28 Septiembre, 2019

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Models and code used for the IFMBE Scientific Challenge 2019

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