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 ...

A single interneuron controls activity adaptively in 50,000 neurons, enabling consistently sparse codes for odours.

The alternative, sparse coding, tends to be used for memory recall and sensory representations. Here, a single neuron only conveys a limited amount of information (i.e., there's something moving ...

The new paper uses a technique called sparse coding, in which analysts break down works of art into tiny patches and represent them as a series mathematical functions.

Sparse coding is a hot area within Deep Learning. Deep learning is the current hot area in artificial intelligence.

A single interneuron controls activity adaptively in 50,000 neurons, enabling consistently sparse codes for odors.

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