Schizophrenia Detection Using Convolutional Neural Networks on EEG Data

The research is situated within the established paradigm of sensory psychology and cognitive neuroscience, which posits that visual cues, particularly color, are potent modulators of appetite and food-related motivation. This framework assumes that the brain's reward system processes visual information to guide eating behavior, and the study uses this foundation to explore a specific manipulation (color desaturation).

This paper is classified as Normal Science because it operates firmly within an existing scientific paradigm. It does not challenge fundamental theories but rather aims to solve a specific puzzle: how reducing color saturation in food images affects appetite and motivation. The study employs standard experimental methodologies, validated psychometric tools, and conventional statistical analyses common to its field. By confirming that desaturation diminishes appetitive responses, the research refines and extends the current understanding of visual cue processing, demonstrating a classic case of cumulative, puzzle-solving work that characterizes Normal Science.