Output details
11 - Computer Science and Informatics
University of Bristol
Biophysically accurate foating point neuroprocessors for reconfigurable logic
<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