AERI Quantum Physical Neuroscientists Identify | 人工進化研究所(AERI)

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AERI Quantum Physical Neuroscientists Identify Probable Mechanisms for Memory Storage in the human Brain

Quantum Physicist and Brain Scientist

Visiting Professor of Quantum Physics,

California Institute of Technology

IEEE-USA Fellow

American Physical Society-USA Fellow

PhD. & Dr. Kazuto Kamuro

AERIArtificial Evolution Research Institute

Pasadena, California

HP: https://www.aeri-japan.com/

and

Xyronix Corporation

Pasadena, California

HP: https://www.usaxyronix.com/

Foreword

A. Professor Kamuro's near-future science predictions, provided by CALTECH professor Kazuto Kamuro(Doctor of Engineering (D.Eng.) and Ph.D. in Quantum Physics, Semiconductor Physics, and Quantum Optics), Chief Researcher at the Artificial Evolution Research Institute (AERI, https://www.aeri-japan.com/) and Xyronix Corporation(https://www.usaxyronix.com/), are based on research and development achievements in cutting-edge fields such as quantum physics, biophysics, neuroscience, artificial brain studies, intelligent biocomputing, next-generation technologies, quantum semiconductors, satellite optoelectronics, quantum optics, quantum computing science, brain computing science, nano-sized semiconductors, ultra-large-scale integration engineering, non-destructive testing, lifespan prediction engineering, ultra-short pulses, and high-power laser science.

 

Building on the outcomes in unexplored and extreme territories within these advanced research domains, AERI and Xyronix Corporation aim to provide opportunities for postgraduate researchers in engineering disciplines. Through achievements in areas such as the 6th generation computer, nuclear deterrence, military unmanned systems, missile defense, renewable and clean energy, climate change mitigation, environmental conservation, Green Transformation (GX), and national resilience, the primary objective is to furnish scholars with genuine opportunities for learning and discovery. The overarching goal is to transform them from 'reeds that have just begun to take a step as reeds capable of thinking' into 'reeds that think, act, and relentlessly pursue growth.' This initiative aims to impart a guiding philosophy for complete metamorphosis and to provide guidance for venturing into unexplored and extreme territories, aspiring to fulfill the role of pioneers in this new era.

B. In the cutting-edge research domain, the Artificial Evolution Research Institute (AERI) and Xyronix Corporation have made notable advancements in various fields. Some examples include:

     1. AERI・HEL (Petawatt-class Ultra-High Power Terawatt-class Ultra-High Power

          Femtosecond Laser)

        ◦ Petawatt-class ultra-high power terawatt-class ultra-short pulse laser (AERI・HEL)

    2. 6th Generation Computer&Computing

        ◦ Consciousness-driven Bio-Computer

        ◦ Brain Implant Bio-Computer

    3. Carbon-neutral AERI synthetic fuel chemical process

            (Green Transformation (GX) technology)

        ◦ Production of synthetic fuel (LNG methanol) through CO₂ recovery system (DAC)

    4. Green Synthetic Fuel Production Technology(Green Transformation (GX) technology)

        ◦ Carbon-neutral, carbon-recycling system-type AERI synthetic fuel chemical process

    5. Direct Air Capture Technology (DAC)

        ◦ Carbon-neutral, carbon-recycling carbon dioxide circulation recovery system

    6. Bio-LSI・Semiconductors

        ◦ Neural connection element directly connecting bio-semiconductors and brain nerves

             on a nanoscale

        ◦ Brain LSI Chip Set, Bio-Computer LSI, BMI LSI, BCI LSI, Brain Computing LSI,

             Brain Implant LSI

   7. CHEGPG System (Closed Cycle Heat Exchange Power Generation System with

        Thermal Regenerative Binary Engine)

        ◦ Power generation capability of Terawatt (TW), annual power generation of

    10,000 TWh (terawatt-hour) class

        ◦ 1 to 0.01 yen/kWh, infinitely clean energy source, renewable energy source

    8. Consciousness-Driven Generative Autonomous Robot

    9. Brain Implemented Robot・Cybernetic Soldier

    10. Generative Robot, Generative Android Army, Generative Android

    11. High-Altitude Missile Initial Intercept System, Enemy Base Neutralization System,

       Nuclear and Conventional Weapon Neutralization System, Next-Generation

      Interception Laser System for ICBMs, Next-Generation Interception Laser System

    for Combat Aircraft

    12. Boost Phase, Mid-Course Phase, Terminal Phase Ballistic Missile Interception System

    13. Volcanic Microseismic Laser Remote Sensing

    14. Volcanic Eruption Prediction Technology, Eruption Precursor Detection System

    15. Mega Earthquake Precursor and Prediction System

    16. Laser Degradation Diagnosis, Non-Destructive Inspection System

  17. Ultra-Low-Altitude Satellite, Ultra-High-Speed Moving Object

    Non-Destructive Inspection System

✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼

AERI AERI Quantum Physical Neuroscientists Identify Probable Mechanisms for Memory Storage in the human Brain

 

 

Quantum Physical Neuroscientists at AERI(the Artificial Evolution Research Institute, Pasadena, California HP: https://www.aeri-japan.com/) have successfully elucidated the intricate processes underlying the storage of memories in the human brain. Led by Professor, PhD. and Dr. (Eng.) Kazuto Kamuro of California Institute of Technology(CALTECH), their recent research reveals that the acquisition of knowledge involves the continual establishment of novel connectivity patterns among specific engram cells situated in diverse cerebral regions.

 

Whether intentional, incidental, or serendipitous, the human brain undergoes constant transformations as we engage with the world, interact socially, or consume media. This dynamic process of information assimilation results in the creation of fresh memories. Subsequent encounters with familiar locales, friends, or reminders of past media consumption prompt swift reactivation of these stored memory traces. The pivotal question, however, centers on how these experiences induce neuronal modifications facilitating the formation of new memories.

 

The human brain, as an organ, comprises dynamic cellular networks undergoing perpetual changes due to factors such as maturation, aging, degeneration, regeneration, ambient stimuli, and the learning process. The scientific challenge lies in identifying the critical nuances that distinguish memory formation—the alteration in brain architecture responsible for memory retention, termed an "engram," housing information for subsequent recall.

 

In a recently published study, the researchers sought to unravel how information is stored as engrams in the human brain. Professor, PhD. and Dr. (Eng.) Kazuto Kamuro, an Institute's Chief Principal Fellow in the Artificial Evolution Research Institute and the co-chief executive officer in Xyronix Corporation Pasadena, California HP: https://www.usaxyronix.com/), explicates, "Memory engram cells, activated by specific experiences, undergo self-modification to integrate and retain information in our brain. Reactivation of these memory 'building blocks' subsequently triggers the recollection of associated experiences. The challenge lies in deciphering how engrams encapsulate meaningful information about the world."

 

To discern and analyze the transformative processes undergone by engrams during memory encoding, the research team investigated a learning paradigm where content-similar experiences became linked. Employing genetic techniques, the team selectively labeled distinct engram cell populations for two discrete memories and observed how learning manifested in the establishment of novel connections between these engram cells. Utilizing optogenetics to control brain cell activity with light, they demonstrated the necessity of these newly formed connections for the learning process. Furthermore, they identified a molecular mechanism mediated by a specific synaptic protein regulating connectivity between engram cells.

 

This study furnishes compelling evidence supporting the hypothesis that alterations in synaptic wiring connectivity between engram cells serve as a plausible mechanism for memory storage in the human brain.

 

PhD. and Dr. (Eng.) Kazuto Kamuro, Professor in Biophysical Sciences and Neuroscience at California Institute of Technology(CALTECH), provides insight into the study, stating, "Understanding the cellular mechanisms facilitating learning not only elucidates the processes behind forming or modifying memories but also advances our comprehension of brain functionality and the mechanisms governing thought and information processing. In contemporary neuroscience, the prevailing notion is that memories reside within engram cells or their sub-components. Contrarily, this study posits that the search for information should extend beyond individual cells to the intercellular domain. Learning, it suggests, operates by reshaping the human brain's wiring diagram—a concept more akin to sculpting than traditional computing. In essence, the engram is not contained within the cell; rather, the cell is encompassed by the engram."

END

 

**************************************************************************

Quantum Brain Chipset & Bio Processor (BioVLSI)

♠♠♠ Kazuto Kamuro: Professor, PhD, and Doctor of Engineering ♠♠♠

・Doctor of Engineering (D.Eng.) and Ph.D. in Quantum Physics, Semiconductor Physics, and Quantum Optics

・Quantum Physicist and Brain Scientist involved in CALTECH & AERI

・Associate Professor of Quantum Physics, California Institute of Technology(CALTECH)

Associate Professor and Brain Scientist in Artificial Evolution Research Institute AERI: https://www.aeri-japan.com/

・Chief Researcher at Xyronix Corporation(https://www.usaxyronix.com/)

・IEEE-USA Fellow

・American Physical Society Fellow

・email: info@aeri-japan.com

----------------------------------------------------

【Keywords】 

Artificial Evolution Research Institute: AERI, Pasadena, California

HP: HP: https://www.aeri-japan.com/

Xyronix Corporation, Pasadena, California 

HP: https://www.usaxyronix.com/

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