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A scalable 32 channel neural recording and real-time FPGA based spike sorting system
File | Description | Size | Format | |
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2015_BioCAS_USBridge_Combo.pdf | Accepted version | 1.74 MB | Adobe PDF | View/Open |
Title: | A scalable 32 channel neural recording and real-time FPGA based spike sorting system |
Authors: | Williams, I Luan, S Jackson, A Constandinou, TG |
Item Type: | Conference Paper |
Abstract: | This demo presents a scalable a 32-channel neural recording platform with real-time, on-node spike sorting ca- pability. The hardware consists of: an Intan RHD2132 neural amplifier; a low power Igloo ® nano FPGA; and an FX3 USB 3.0 controller. Graphical User Interfaces for controlling the system, displaying real-time data, and template generation with a modified form of WaveClus are demonstrated. |
Issue Date: | 24-Oct-2015 |
Date of Acceptance: | 10-Aug-2015 |
URI: | http://hdl.handle.net/10044/1/27018 |
DOI: | https://dx.doi.org/10.1109/BioCAS.2015.7348330 |
Publisher: | IEEE |
Start Page: | 187 |
End Page: | 191 |
Copyright Statement: | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Sponsor/Funder: | Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (E |
Funder's Grant Number: | EP/I000569/1 EP/I000569/1 EP/K015060/1 EP/M020975/1 BH141353 (EP/M025977/1) |
Conference Name: | IEEE Biomedical Circuits and Systems (BioCAS) Conference |
Publication Status: | Published |
Start Date: | 2015-10-22 |
Finish Date: | 2015-10-24 |
Conference Place: | Atlanta, GA |
Appears in Collections: | Electrical and Electronic Engineering Faculty of Engineering |