A scalable 32 channel neural recording and real-time FPGA based spike sorting system

Williams, I; Luan, S; Jackson, A; Constandinou, TG

doi:https://www.dx.doi.org/10.1109/BioCAS.2015.7348330

File(s)

2015_BioCAS_USBridge_Combo.pdf (1.7 MB)

Accepted version

Author(s)

Williams, I

Luan, S

Jackson, A

Constandinou, TG

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.

Date Issued

2015-10-24

Date Acceptance

2015-08-10

Citation

2015, pp.187-191

URI

http://hdl.handle.net/10044/1/27018

DOI

https://www.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

Engineering & Physical Science Research Council (EPSRC)

Engineering & Physical Science Research Council (E

Grant Number

EP/I000569/1

EP/K015060/1

EP/M020975/1

BH141353 (EP/M025977/1)

Source

IEEE Biomedical Circuits and Systems (BioCAS) Conference

Publication Status

Published

Start Date

2015-10-22

Finish Date

2015-10-24

Coverage Spatial

Atlanta, GA