CHARACTERIZING ACTIVITY IN A RECURRENT ARTIFICIAL NEURAL NETWORK AND ENCODING AND DECODING INFORMATION

摘要

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for characterizing activity in a recurrent artificial neural network and encoding and decoding information. In one aspect, a method for identifying decision moments in a recurrent artificial neural network can include determining a complexity of patterns of activity in the recurrent artificial neural network, determining a timing of activity having a complexity that is distinguishable from complexity of other activity that is responsive to the input, and identifying a decision moment based on the timing of the activity that has the distinguishable complexity