Electronic brain model with neuron tables

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.

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   a neuron table containing at least one electronic neuron having a neuron record, the neuron record being locatable in the neuron table through its associated resolution address and an offset;   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 neuron record further comprises:
 a fixed length information block; and   at least one relational connection record that references at least one of a second electronic neuron and at least one of a state parameter and a predefined brain parameter neuron with preset weights and connections.   
   
   
       3 . The system of  claim 2 , wherein the relational connection record is weighted. 
   
   
       4 . The system of  claim 2 , wherein the relational connection record is uni-directional. 
   
   
       5 . The system of  claim 2 , wherein the relational connection record is bi-directional. 
   
   
       6 . The system of  claim 2 , wherein the at least one electronic neuron is activated based upon at least one of a second neuron, a state parameter referenced in the at least one relational connection record, and a predefined brain parameter neuron with preset weights and conditions. 
   
   
       7 . The system of  claim 2 , wherein the at least one electronic neuron is activated based upon a relative ranking of the at least one of a second neuron and a state parameter referenced in the at least one relational connection record as compared to a rank associated with the at least one electronic neuron. 
   
   
       8 . The system of  claim 1 , wherein the at least one electronic neuron corresponds to one fact. 
   
   
       9 . The system of  claim 1 , wherein the at least one electronic neuron corresponds to one experience.