Researchers published in Nature have introduced a PCA-ANFIS framework that combines principal component analysis with adaptive neuro-fuzzy inference for precise EEG classification. The study uses non-linear features like fractal dimensions to enhance cognitive state detection. This method is ideal for neurotechnology and brain signal analysis. Consider reviewing this work to deepen your insight into advanced brain data classification.