Abstract
Using the available database of cerebellum, hypothalamus, and hippocampus (C–H–H) architecture of the human brain, we rebuilt the structures theoretically and experimentally using a similar dielectric material and studied their resonant communication. We also replicated humanoid brain circuits: language and conversation, thinking and intelligence, emotion, love, fear, threat, hunger and pain, and memory using special cables and Yagi antenna junctions. By comparing the experimental responses of three different brain components of the humanoid bot’s functional circuits, we have identified that resonance frequencies vary widely. However, there are similarities in the ratio of resonance frequencies. Thus, a geometric language would probably be the governing machine language of future humanoid bots.
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The authors acknowledge the Asian Office of Aerospace R&D (AOARD) a part of United States Air Force (USAF) for the grant no. FA2386-16-1-0003 (2016-2019) on electromagnetic resonance-based communication and intelligence of biomaterials.
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Singh, P. et al. (2022). Instantaneous Communication Between Cerebellum, Hypothalamus, and Hippocampus (C–H–H) During Decision-Making Process in Human Brain-III. In: Kaiser, M.S., Ray, K., Bandyopadhyay, A., Jacob, K., Long, K.S. (eds) Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering. Lecture Notes in Networks and Systems, vol 348. Springer, Singapore. https://doi.org/10.1007/978-981-16-7597-3_8
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