Alexander E Hramov, Nikita S Frolov, Vladimir A Maksimenko, Vladimir V Makarov, Alexey A Koronovskii, Juan Garcia-Prieto, Luis Fernando Antón-Toro, Fernando Maestú, Alexander N Pisarchik
Artificial neural networks (ANNs) are known to be a powerful tool for data analysis. They are used in social science, robotics, and neurophysiology for solving tasks of classification, forecasting, pattern recognition, etc. In neuroscience, ANNs allow the recognition of specific forms of brain activity from multichannel EEG or MEG data. This makes the ANN an efficient computational core for brain-machine systems. However, despite significant achievements of artificial intelligence in recognition and classification of well-reproducible patterns of neural activity, the use of ANNs for recognition and classification of patterns in neural networks still requires additional attention, especially in ambiguous situations...
March 2018: Chaos