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11 - Computer Science and Informatics

University of Bristol

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Output 36 of 159 in the submission

Article title

Biophysically accurate foating point neuroprocessors for reconfigurable logic

Type

D - Journal article

DOI

10.1109/TC.2011.257

Title of journal

IEEE Transactions on Computers

Article number

Volume number

Issue number

First page of article

599

ISSN of journal

00189340

Year of publication

2013

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6122016

Number of additional authors

Additional information

<01> Co-authored with Bristol's medical school (Edward and Stephen), this paper presents a method for modelling neuron cells using an FPGA. The work was funded by Aptina Ltd as they wished to detect electrical activity in real cells, as well as interfacing them with simulated cells on chip.

[Micron/ Aptina foundation: BRAINS Project (Neuroprocessors and cell patterning techniques)), Sept 2009 – Sept 2013, $400k. Aptina contact: Director UK Design Centre, Micron Europe Ltd, see audit file for contact details.]

The work attracted interest in the popular science media, e.g. IEEE Spectrum magazine.:

Published online http://spectrum.ieee.org/computing/embedded-systems/new-math-for-artificial-neurons

Interdisciplinary

Cross-referral requested

Research group

D - Microelectronics Group

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract