Activity-Dependent Generation of Simulated Neural Circuits

Abstract

A simulated neural circuit includes a plurality of simulated neurons. The simulated neurons have input branches that are configured to connect to a plurality of inputs and activate in response to activity in the inputs to which they are connected. In addition, the simulated neurons are configured to activate in response to activity in their input branches. Initial connections are formed between various input branches and various inputs and a set of the inputs are activated. Thereafter, the stability of connections between input branches and inputs to which they are connected is moderated based on the activated set of inputs and a pattern of activity generated in the input branches and simulated neurons in response to the activated set of inputs.

What is claimed is: 
     
         1 . A method for moderating connections in a simulated neural circuit, wherein the simulated neural circuit includes a plurality of simulated neurons having input branches that are configured to connect to a plurality of inputs and activate in response to activity in the inputs to which the input branches are connected, and wherein the simulated neurons are configured to activate in response to activity in their input branches, the method comprising:
 forming initial connections between various input branches and various inputs;   activating a set of the inputs; and   moderating the stability of connections between input branches and inputs based on the activated set of inputs and a pattern of activity generated in the input branches and simulated neurons in response to the activated set of inputs.