Neuromorphic Spatiotemporal Where-What Machines

Abstract

In various embodiments, electronic apparatus, systems, and methods include a unified compact spatiotemporal method that provides a process for machines to deal with space and time and to deal with sensors and effectors. Additional apparatus, systems, and methods are disclosed.

1 - 10 . (canceled) 
     
     
         11 . A method comprising:
 extracting features from a sensory input provided by a sensory device for a machine;   correlating motor action of the machine with the features; and   generating autonomously, using a processing unit, a decision for machine activity based on results from correlating motor action with the features based on applying a firing-age dependent plasticity for neurons associated with the sensory input and motor action.   
     
     
         12 . The method of  claim 11 , wherein the method further comprises:
 determining whether one or more of the features are irrelevant to motor actions; and   automatically disregarding features determined to be irrelevant.   
     
     
         13 . The method of  claim 11 , wherein generating decisions includes operating in a neural network mode without error back-propagation. 
     
     
         14 . The method of  claim 11 , wherein the method includes correlating motor action of the machine with the features relative to a fixed time period such that update of information relative to correlating motor action of the machine with the features at a current time is based only on information corresponding to motor action of the machine with the features at a previous time set by the fixed time period. 
     
     
         15 . The method of  claim 11 , wherein the method further comprises:
 extracting an image from the sensory input; and   generating a decision based on recognizing an object in the image separate from background in the image.   
     
     
         16 - 20 . (canceled)