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WO2020247243A1 - Neuroscience based learning-computing - Google Patents

Neuroscience based learning-computing Download PDF

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Publication number
WO2020247243A1
WO2020247243A1 PCT/US2020/035028 US2020035028W WO2020247243A1 WO 2020247243 A1 WO2020247243 A1 WO 2020247243A1 US 2020035028 W US2020035028 W US 2020035028W WO 2020247243 A1 WO2020247243 A1 WO 2020247243A1
Authority
WO
WIPO (PCT)
Prior art keywords
mathematical
information
data
stored
person
Prior art date
Application number
PCT/US2020/035028
Other languages
French (fr)
Inventor
Kevin DELAHOUSSAYE
Original Assignee
Delahoussaye Kevin
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US16/430,430 external-priority patent/US20200387778A1/en
Application filed by Delahoussaye Kevin filed Critical Delahoussaye Kevin
Publication of WO2020247243A1 publication Critical patent/WO2020247243A1/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods

Definitions

  • the quality of a person's thought, in producing a positive or negative feeling, is influenced by all the life events they have ever had in their lifetime that have produced a response by the body that reinforces their behavior in a certain direction. And their respective genotypes that drive their behavior and encode the production of these neurotransmitters.
  • This item is a mathematical construction.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Electrically Operated Instructional Devices (AREA)

Abstract

Data is stored as mathematical constructions/patterns and allows for improved storage by condensing data into a structure Impulses propagated through a neuron/microchip/diamond reanimate this stored information. When recalling information this mathematical construction is a logical piece of a puzzle which is the problem to be solved.

Description

(A) Specification
Neuroscience based learning-computing
B: Cross Reference to Related Applications: Not Applicable : 63007943—04/09/2020:: 16/430,430-06-04-2019
( C ) Regarding Federally Sponsored Research or Development: Not Applicable ( D): Regarding The Names of The Parties To a Joint Research Agreement:
Not Applicable
E: I ncorporation by reference of material submitted on a compact disc or as a text file
via the The Office Electronic Filing System (EFS-Web):
F: Statement Regarding Prior Disclosures by The Inventor Or a Joint Inventor:
Not Applicable
G: Background of I nvention:
As thoughts progress through the human mind a cascade of events follows. We know from studying the brain using various medical instruments that blood flows into different directions of the brain as a person goes through the conscious process of completing a task, or the unconscious completion of a thought.
This is the basis for all ingrained patterns that humans have. We learn to walk by firing the muscles involved in propelling the body and maintain equilibrium. Dopamine is released, and these patterns get ingrained into the person. Each time a person attempts a new skill a new pathway is made and depending on the resulting success of that action it is either repeated or not repeated. A repeated pattern is usually a successful one and we learn to walk by the continuing action of the activation of the various muscles' groups and the proceeding release of dopamine and secondary messengers that ingrains the movement into the person. The reasons that the cerebellum has an increased amount of neurons compared to the rest of the brain is the control of all the different motor functions humans have.
Similarly, with thought, the same process happens. As the thought progresses through the psyche a determination is made of the success of this thought and it is either repeated or not repeated. These ingrained thoughts become the basis of personality and general human behavior.
So, when a person has a positive thought that produces a happy feeling in the subj ect neurotransmitters such as dopamine and serotonin are released which act to reinforce the behavior and to stimulate the feeling of happiness. Similarly, when a person has a negative thought the same process occurs, the thought starts and goes through the persons psyche and dopamine is released to reinforce the thought, I n people with disorders these thought patterns that are negative are more highly reinforced and therefore produce a negative life outcome for the person.
The quality of a person's thought, in producing a positive or negative feeling, is influenced by all the life events they have ever had in their lifetime that have produced a response by the body that reinforces their behavior in a certain direction. And their respective genotypes that drive their behavior and encode the production of these neurotransmitters.
Brief Summary of the Invention:
Data is stored as mathematical constructions/patterns this allows for improved storage by condensing data into a structure Impulses propagated through a neuron/microchip/diamond reanimate this stored information. When recalling information this mathematical construction is a logical piece of a puzzle which is the problem to be solved.
When recalling information with many prorogations a dynamically fluid field is developed around the item of interest Looking at an item you can see it. This is because photons were absorbed/reflected by the atomic structure of the item.
This item is a mathematical construction.
(K) : Claim or Claims: See Document "Claims"
(L): Abstract of Disclosure: See Document "Abstract"
(M): Sequence Listing: Not Applicable

Claims

Claims:
I: data is stored as mathematical constructions/patterns, this allows for improved storage by condensing data into a structure
II: When we see the photon, which is pure information at the basic level, the raw data is then transformed into another mathematical construction which is stored; This construction can be re animated with electrical impulses.
Ill: Very fast information (Language, language represented in mathematical packets) sent in the form of electromagnetic waves gives a person the opportunity to process this information at fast speeds.
PCT/US2020/035028 2019-06-04 2020-05-29 Neuroscience based learning-computing WO2020247243A1 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US16/430,430 2019-06-04
US16/430,430 US20200387778A1 (en) 2019-06-04 2019-06-04 Creating AI
US202063007943P 2020-04-09 2020-04-09
US63/007,943 2020-04-09

Publications (1)

Publication Number Publication Date
WO2020247243A1 true WO2020247243A1 (en) 2020-12-10

Family

ID=73652226

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2020/035028 WO2020247243A1 (en) 2019-06-04 2020-05-29 Neuroscience based learning-computing

Country Status (1)

Country Link
WO (1) WO2020247243A1 (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060045269A1 (en) * 2004-08-31 2006-03-02 Microsoft Corporation Quantum computational systems
US20120207476A1 (en) * 2009-10-29 2012-08-16 Erik Agrell Data transmission system and method
US20150213092A1 (en) * 2014-01-29 2015-07-30 Relican Analytics, Inc. Optimized data condenser and method
US20160267032A1 (en) * 2014-02-28 2016-09-15 Rigetti & Co., Inc. Processing Signals in a Quantum Computing System
WO2019026984A1 (en) * 2017-08-02 2019-02-07 National Institute For Materials Science Human brain like intelligent decision-making machine
US20190356394A1 (en) * 2018-05-15 2019-11-21 Lightmatter, Inc. Photonic processing systems and methods

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060045269A1 (en) * 2004-08-31 2006-03-02 Microsoft Corporation Quantum computational systems
US20120207476A1 (en) * 2009-10-29 2012-08-16 Erik Agrell Data transmission system and method
US20150213092A1 (en) * 2014-01-29 2015-07-30 Relican Analytics, Inc. Optimized data condenser and method
US20160267032A1 (en) * 2014-02-28 2016-09-15 Rigetti & Co., Inc. Processing Signals in a Quantum Computing System
WO2019026984A1 (en) * 2017-08-02 2019-02-07 National Institute For Materials Science Human brain like intelligent decision-making machine
US20190356394A1 (en) * 2018-05-15 2019-11-21 Lightmatter, Inc. Photonic processing systems and methods

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