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Improving energy consumption of pattern recognition by combining processor-centric and bio-inspired considerations

journal contribution
posted on 2018-01-01, 00:00 authored by Yathindu R Hettiarachchige, Asad I Khan, Jan Carlo BarcaJan Carlo Barca
This paper investigates aspects of bio-inspired models that help create more energy efficient methods in pattern recognition. A comparison between a biologically plausible pattern recognition approach and a purely computer based (algorithmic) approach yielded three main findings. Firstly, the occurrence of low-complexity parallel sub-processes within the bio-inspired approach allows higher energy efficiency by relaxing the requirement of having faster processors. Secondly, the bio-inspired approach takes advantage of numerous computationally inexpensive sub-processes that will scale better in massively parallel environments, such as neuromorphic computers, thus providing comparable speed. Finally, it is far more easier to adapt across a range of application domains than its algorithmic counterpart.

History

Journal

Biologically inspired cognitive architectures

Volume

23

Pagination

54 - 63

Publisher

Elsevier

Location

Amsterdam, The Netherlands

ISSN

2212-683X

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2018, Elsevier B.V.

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