A model design of a 2560-channel neural spike detection platform

Nashwa Elaraby, Iyad Obeid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A model design of a 2560-channel neural signal processing platform is presented. The design carries out spike detection over a large reconfigurable number of channels on Field Programmable Gate Arrays (FPGAs), and integrates the application of high-speed serial transceivers to allow for the required massive input data transmissions.

Original languageEnglish (US)
Title of host publication2012 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2012
DOIs
StatePublished - Dec 1 2012
Event2012 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2012 - Cancun, Mexico
Duration: Dec 5 2012Dec 7 2012

Publication series

Name2012 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2012

Other

Other2012 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2012
CountryMexico
CityCancun
Period12/5/1212/7/12

All Science Journal Classification (ASJC) codes

  • Computer Science Applications

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  • Cite this

    Elaraby, N., & Obeid, I. (2012). A model design of a 2560-channel neural spike detection platform. In 2012 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2012 [6416762] (2012 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2012). https://doi.org/10.1109/ReConFig.2012.6416762