UC Davis

To further understand the neural basis of conscious experience, we employ cutting edge machine learning techniques to home in on neural activity that correlates with specific conscious content or specific information that becomes accessible to awareness (e.g., the experience of pain, the color blue). In the context of differing views regarding the functional localization and neural underpinnings of the neural correlates of consciousness, we narrow the focus of disagreement to testable theoretical predictions concerning the timing of conscious visual representational content. Our findings are consistent with theories that propose a late electrophysiological correlate of visual awareness.