Online Linear Subspace Learning in an Analog Array Computing Architecture

Konferenz: CNNA 2016 - 15th International Workshop on Cellular Nanoscale Networks and their Applications
23.08.2016 - 25.08.2016 in Dresden, Deutschland

Tagungsband: CNNA 2016

Seiten: 2Sprache: EnglischTyp: PDF

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Autoren:
Poikonen, Jussi H.; Laiho, Mika (Technology Research Center, University of Turku, Finland)

Inhalt:
We map to an analog array computing framework a recently presented algorithm for online learning of linear subspaces using local learning rules. We demonstrate that the considered algorithm is well suited for implementation in analog array computing architectures, and that the computation of neural activity dynamics required in the learning can be realized in an efficient homeostatic manner using an analog continuoustime circuit.