System for classifying minimally constrained stimuli

Claim 1

A SYSTEM FOR CLASSIFYING A PLURALITY OF MINIMALLY CONSTRAINED STIMULI COMPRISING MEANS RESPONSIVE TO A STIMULUS UNDER OBSERVATION, SAID MEANS INCLUDING A PLURALITY OF DISCRETE SENSING MEANS, MEANS OPERATIVELY CONNECTED TO SAID SENSING MEANS FOR RANDOMLY DERIVING A MULTIPLICITY OF INFORMATION SIGNALS CORRESPONDING TO THE STIMULUS UNDER OBSERVATION, AND MEANS FORMING A STATISTICALLY RANDOM SELECTION OF CONNECTIONS BETWEEN SAID SENSING MEANS AND SAID MEANS FOR RANDOMLY DERIVING TO PRODUCE THE RANDOMNESS OF THE DERIVATION OF SAID INFORMATION SIGNALS; A DISCRIMINATORY FIELD RESPONSIVE TO SAID INFORMATION SIGNALS SAID DISCRIMINATORY FIELD DERIVING A PLURALITY OF SIGNAL BITS, EACH BIT BEING DERIVED IN RESPONSE TO THE COMBINED VALUES OF THE RANDOM COMBINATION OF SAID INFORMATION SIGNALS; A PLURALITY OF MEMORY FIELDS, EACH OF SAID FIELDS STORING INFORMATION BITS INDICATIVE OF THE SIGNAL BITS CORRESPONDING TO EACH OF SAID CLASS OF STIMULI, MEANS FOR COMBINING THE STORED INFORMATION BITS OF EACH MEMORY FIELD WITH SAID SIGNAL BITS TO DERIVE A PLURALITY OF COMBINED SIGNALS, AND MEANS FOR COMPARING SAID COMBINED SIGNALS TO DETERMINED THE GREATEST CORRELATION BETWEEN SAID STIMULUS UNDER OBSERVATION AND ONE OF SAID CLASSES OF STIMULI.