Building a Non-ionic, Non-electronic, Non-algorithmic Artificial Brain: Cortex and Connectome Interaction in a Humanoid Bot Subject (HBS)

摘要

In the 1920s, Brodmann found that the neurons arrange in around 47 distinct patterns in the brain's topmost thin cortex layer. Each region controls a distinct brain function. Together, the cortex is made of 120,000-200,000 cortical columns, executing all cognitive responses. By filling capillary glass tubes with helical carbon nanotube, we built a corticomorphic device as a replacement of the neuromorphic device and using 10,000 such corticomorphic devices built a cortex replica. Using dielectric and cavity resonators, we built a complex nerve fiber network of the entire brain-body system. It includes connectome, spinal cord, and similar ten major organs. The nerve fiber network takes input from wide ranges of sensors, and the neural paths interact before changing the self-assembly of helical carbon nanotubes, which is read using EEG or laser refraction. The integrated brain-body system is our humanoid bot subject, HBS. One could refill entire cortex region with new synthetic organic materials to test spontaneous, software-free 24 × 7 brain response in EEG and optical vortices. Our extensive theoretical simulations of all brain components were verified with hardware replicas in the optoelectronic HBS. HBS is a universal tool to test a brain hypothesis using AI chips, organic-inorganic materials, etc.