Towards a ‘siliconeural computer’: technological successes and challenges

Hughes, Mark; Shipston, Michael J.; Murray, Alan F.

doi:10.1098/rsta.2014.0217

Cited by 4 publications

(3 citation statements)

References 37 publications

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“…Biological computation can also exploit parts of organisms, such as neurons. Hughes et al [9] review and discuss a particular form of heterotic computing: neural systems interfacing silicon substrates. Although both systems use electricity in some form to communicate, they have great differences in function and form.…”

Section: Biological Computingmentioning

confidence: 99%

Heterotic computing: exploiting hybrid computational devices

Kendon

Sebald

Stepney

2015

Phil. Trans. R. Soc. A.

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Current computational theory deals almost exclusively with single models: classical, neural, analogue, quantum, etc. In practice, researchers use ad hoc combinations, realizing only recently that they can be fundamentally more powerful than the individual parts. A Theo Murphy meeting brought together theorists and practitioners of various types of computing, to engage in combining the individual strengths to produce powerful new heterotic devices. 'Heterotic computing' is defined as a combination of two or more computational systems such that they provide an advantage over either substrate used separately. This post-meeting collection of articles provides a wide-ranging survey of the state of the art in diverse computational paradigms, together with reflections on their future combination into powerful and practical applications. OverviewPractical computation has long used different types of computational components in combination. Everyday examples include the graphics co-processing unit that has cooperated with the central processing unit in desktop and laptop computers for two decades, and the GPS chips included in most mobile phones and digital cameras.Our vision for hybrid computational systems [1-3] is far broader than this, however, encompassing novel substrates: from the exquisitely controlled quantum systems prototyping a new breed of faster computation based on quantum logic, to the biological and chemical computational experiments in laboratories around

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Section: Biological Computingmentioning

confidence: 99%

Heterotic computing: exploiting hybrid computational devices

Kendon

Sebald

Stepney

2015

Phil. Trans. R. Soc. A.

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“…Whilst electronic signalling is central to both domains, there remain fundamental differences in computational strategy 7 . Most microelectronic platforms operate in a sequential, rigid, and fault intolerant mode.…”

Section: Challengesmentioning

confidence: 99%

“…2A comparison between the components and modi operandi of nervous systems and silicon-based computers (reproduced from Ref. [7]). …”

Section: Challengesmentioning

confidence: 99%

Insinuating electronics in the brain

Hughes

2016

The Surgeon

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There is an expanding interface between electronic engineering and neurosurgery. Rapid advances in microelectronics and materials science, driven largely by consumer demand, are inspiring and accelerating development of a new generation of diagnostic, therapeutic, and prosthetic devices for implantation in the nervous system. This paper reviews some of the basic science underpinning their development and outlines some opportunities and challenges for their use in neurosurgery.

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