Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.

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Applications of Deep Learning and Reinforcement Learning to Biological Data (2017, background): “Novel tools for DNA sequencing [4], gene expression [5], bioimaging [6], neuroimaging [7], and brain-machine interfaces [8] are now available to the scientific community.”
A comprehensive review of EEG-based brain–computer interface paradigms (2019, background): “The first is studying brain activity to investigate a feedforward pathway used to control the external devices without the aim of rehabilitation [4].”
Deep Learning in Mining Biological Data (2020, background): “anisms [2,3]. Increasing technological sophistication presented scientists with novel tools for DNA sequencing [4], gene expression [5], bioimaging [6], neuroimaging [7], and brain-machine interfaces [8]. These innovative approaches to study the living organisms produce huge amount of data [9] and c”