Sparse coding provides a class of algorithms for finding succinct representations of stimuli; given only unlabeled input data, it discovers basis functions that capture higher-level features in the ...

Modifying an simpler attempt with a better algorithm The only difference here from what we did before is the last sentence, where we add a set of constraints on the dictionary atoms. Solving the ...

The hardware discussed by Sheridan et al. implements a particular sparse coding algorithm called a locally competitive algorithm 7, which has a straightforward mapping onto a recurrent neural network.

Numenta compared sparse and dense networks by running its algorithms on Xilinx FPGAs (Field Programmable Gate Array) for a speech recognition task using the Google Speech Commands (GSC) dataset.