Classification of Perceptual Interpretation of Bistable Images Using EEG and Artificial Neural Networks
This paper proposes the use of artificial neuron networks for classification and automatic recognition of human brain states associated with the perception of ambiguous images. Based on the experimental data obtained, the ANN architecture was optimized to achieve up to 95% accuracy in the classification of brain wave patterns during the perception of ambiguous images….