Abstract
As a human brain learns, the hexagonal close packing of cortical column deforms, we have replicated the process using artificial cortical columns made of capillary glass tubes and placing artificial cortex on a humanoid bot built by us. Initially, we theoretically constructed the neurons using dielectric material to emulate the biological cortex. Using those neurons, we constructed nineteen cortical columns, each made of twenty-six distinct neuron compositions, and explored the electric and magnetic field distributions around them. We re-oriented neurons theoretically and experimentally on a 1:100 larger scale to tune the electric and magnetic fields in the assembly of cortical columns and replicated change in the symmetry of the assembly of cortical columns as it happens during decision-making in the biological brain’s cortex. We placed an additional sheet of cortical columns made with organic nanowire on the head of the humanoid bot. Monochromatic laser lights of 12 different colors were sent through the thermoplastic embedded capillary tube-based cortical column assemblies. The capillary tube was filled with helical carbon nanotubes with different solvents. Software-free, purely analog bot sensed from environment visual, sound data and we monitored live using laser light how cortical columns emit modified optical and magnetic vortices through the bot’s cortex layer.
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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 electromagnetic resonance-based communication and intelligence of biomaterials.
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A.B. (Anirban Bandyopadhyay) conceived and designed research; Pu.Si. (Pushpendra Singh) and A.B. performed theoretical and experimental study; Pu.Si. drafted manuscript; A.B. and Pu.Si. edited and revised manuscript, K.R. AsB and P.Sa. S.G. reviewed the work.
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Singh, P. et al. (2022). Replicating a Learning Brain’s Cortex in a Humanoid Bot: Pyramidal Neurons Govern Geometry of Hexagonal Close Packing of the Cortical Column Assemblies-II. In: Bandyopadhyay, A., Ray, K. (eds) Rhythmic Advantages in Big Data and Machine Learning . Studies in Rhythm Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-5723-8_6
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DOI: https://doi.org/10.1007/978-981-16-5723-8_6
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