Neural-like computing with populations of superparamagnetic basis functions.
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ABSTRACT:
SUBMITTER: Mizrahi A
PROVIDER: S-EPMC5906599 | biostudies-literature | 2018 Apr
REPOSITORIES: biostudies-literature
Publications
Neural-like computing with populations of superparamagnetic basis functions.
Mizrahi Alice A Hirtzlin Tifenn T Fukushima Akio A Kubota Hitoshi H Yuasa Shinji S Grollier Julie J Querlioz Damien D
Nature communications 20180418 1
In neuroscience, population coding theory demonstrates that neural assemblies can achieve fault-tolerant information processing. Mapped to nanoelectronics, this strategy could allow for reliable computing with scaled-down, noisy, imperfect devices. Doing so requires that the population components form a set of basis functions in terms of their response functions to inputs, offering a physical substrate for computing. Such a population can be implemented with CMOS technology, but the correspondin ...[more]
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