An Integration of Deep Learning and Neuroscience for Machine Consciousness
Global Journal of Computer Science and Technology March 26, 2019 A. Mallakin
Consciousness can be understood as a computational tool that evolved to integrate information across the brain's modular organization. Specialized modules process information unconsciously, while subjective conscious experience arises from the global availability of data through a nonmodular global workspace in the parieto-frontal brain. Large neurons with long axons enable long-distance connectivity, stabilizing and transmitting selected information to all other modules. This paper discusses necessary elements for designing conscious artificial-intelligence devices, arguing that implementing these features would likely result in a machine considered conscious. It reviews theories and specific problems that must be solved, and debates implications for neuroscience and machine learning research.