Electronic brain model with neuron tables

• US 9,213,936 B2
• Filed: 05/08/2014
• Issued: 12/15/2015
• Est. Priority Date: 01/06/2004
• Status: Expired due to Fees

• Current Assignee: Neuric, LLC
• Original Assignee: Neuric, LLC
• Inventors: Visel, Thomas A.
• Primary Examiner(s): Gaffin, Jeffrey A
• Assistant Examiner(s): BUSS, BENJAMIN J
• Application Number:
  US14/273,128
• Publication Number:
  US 20140330762A1
• Time in Patent Office: 586 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 40/211 Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06N 3/02 Neural networks
• CPC Class Codes: G06N 3/04 Architecture, e.g. interconnection topology
• CPC Class Codes: G06N 3/063 using electronic means
• CPC Class Codes: G06N 3/105 Shells for specifying net layout
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16
• CPC Class Codes: G10L 17/26 Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices

Abstract

A method of emulating the human brain with its thought and rationalization processes is presented here, as well as a method of storing human-like thought. The invention provides for inclusion of psychological profiles, experience and societal position in an electronic emulation of the human brain. This permits a realistic human-like response by that emulation to the people and the interactive environment around it.

Claims

1. A system for storage of a set of electronic neurons in an electronic memory, the structure comprising:

an identification table containing a list of pointers as table elements, each of the pointers having a resolution address of an electronic neuron in a neuron table and each of the electronic neurons defined by a unique one of the pointers; and

a neuron table containing at least one electronic neuron having associated neuron record, the associated neuron record being locatable in the neuron table through its associated resolution address and an offset, each of the neuron records comprised of a fixed length information block, a plurality of relationships to other of the electronic neurons such that the relationship to the other of the electronic neurons is defined by the associated unique pointer and additional predetermined parameters, such that any electronic neuron can point to any other electronic neuron, and at least one of the relationships that references at least one of a second electronic neuron and also references at least one of a state parameter and a predefined brain parameter neuron with preset weights and connections as the predetermined parameters, wherein the at least one electronic neuron is activated based upon a relative ranking of at least one of the second electronic neuron and the state parameter referenced in the at least one relationship as compared to a rank associated with the at least one electronic neuron;

wherein the identification table occupies a predetermined and finite logical space in the electronic memory and is sized to have one table element for each electronic neuron in the neuron table.

2. The system of claim 1, wherein the relationship is weighted.

3. The system of claim 1, wherein the relationship is unidirectional.

4. The system of claim 1, wherein the relationship is bidirectional.

5. The system of claim 1, wherein the at least one electronic neuron is activated based upon at least one of the second electronic neuron, the state parameter referenced in the at least one relationship, and the predefined brain parameter neuron with preset weights and conditions.

6. The system of claim 1, wherein the at least one electronic neuron corresponds to one fact.

7. The system of claim 1, wherein the at least one electronic neuron corresponds to one experience.