Title :
Live demonstration: A scalable 32-channel neural recording and real-time FPGA based spike sorting system
Author :
Ian Williams;Song Luan;Andrew Jackson;Timothy G. Constandinou
Author_Institution :
Centre for Bio-Inspired Technology, Imperial College London
Abstract :
This demo presents a scalable a 32-channel neural recording platform with real-time, on-node spike sorting capability. 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.
Keywords :
"Field programmable gate arrays","Sorting","Real-time systems","Universal Serial Bus","Graphical user interfaces","Computers","Batteries"
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE
DOI :
10.1109/BioCAS.2015.7348330
