Patterns recognition of electric brain activity using artificial neural networks

Multilayer perceptron Perceptron Cube (algebra)
DOI: 10.1117/12.2267701 Publication Date: 2017-04-18T15:16:26Z
ABSTRACT
An approach for the recognition of various cognitive processes in brain activity perception ambiguous images. On basis developed theoretical background and experimental data, we propose a new classification oscillating patterns human EEG by using an artificial neural network approach. After learning reliably identified cube processes, example, left-handed or right-oriented Necker with different intensity their edges, construct based on Perceptron architecture demonstrate its effectiveness pattern experimental.
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