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

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Proceedings of International Conference on Trends in Computational and Cognitive Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1309))

Abstract

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.

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Acknowledgements

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 the electromagnetic resonance-based communication and intelligence of biomaterials.

Competing Interests

The authors declare that there is no competing interest.

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Authors and Affiliations

  1. International Center for Materials and Nanoarchitectronics (MANA), Research Center for Advanced Measurement and Characterization (RCAMC), National Institute for Materials Science, 1-2-1 Sengen, Tsukuba, Ibaraki, 3050047, Japan

    Pushpendra Singh, Pathik Sahoo & Anirban Bandyopadhyay

  2. Amity School of Applied Science, Amity University Rajasthan, Kant Kalwar, NH-11C, Jaipur Delhi Highway, Jaipur, Rajasthan, 303007, India

    Pushpendra Singh & Kanad Ray

  3. Chemical Science and Technology Division, CSIR-North East Institute of Science and Technology, NEIST, Jorhat, Assam, 785006, India

    Pathik Sahoo & Subrata Ghosh

  4. Academy of Scientific and Innovative Research (AcSIR), CSIR-NEIST Campus, Jorhat, Assam, 785006, India

    Subrata Ghosh

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  1. Pushpendra Singh
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Correspondence to Pushpendra Singh or Anirban Bandyopadhyay .

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Editors and Affiliations

  1. Jahangirnagar University, Dhaka, Bangladesh

    M. Shamim Kaiser

  2. National Institute for Materials Science, Tsukuba, Japan

    Anirban Bandyopadhyay

  3. Nottingham Trent University, Nottingham, UK

    Mufti Mahmud

  4. Amity University, Jaipur, Rajasthan, India

    Kanad Ray

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Singh, P., Sahoo, P., Ray, K., Ghosh, S., Bandyopadhyay, A. (2021). Building a Non-ionic, Non-electronic, Non-algorithmic Artificial Brain: Cortex and Connectome Interaction in a Humanoid Bot Subject (HBS). In: Kaiser, M.S., Bandyopadhyay, A., Mahmud, M., Ray, K. (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1309. Springer, Singapore. https://doi.org/10.1007/978-981-33-4673-4_21

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