In this section
@inproceedings{Williams:2015:10.1109/BioCAS.2015.7348330,
author = {Williams, I and Luan, S and Jackson, A and Constandinou, TG},
doi = {10.1109/BioCAS.2015.7348330},
pages = {187--191},
publisher = {IEEE},
title = {A scalable 32 channel neural recording and real-time FPGA based spike sorting system},
url = {http://dx.doi.org/10.1109/BioCAS.2015.7348330},
year = {2015}
}
TY - CPAPER
AB - This demo presents a scalable a 32-channel neuralrecording platform with real-time, on-node spike sorting ca-pability. The hardware consists of: an Intan RHD2132 neuralamplifier; a low power Igloo ® nano FPGA; and an FX3 USB3.0 controller. Graphical User Interfaces for controlling thesystem, displaying real-time data, and template generation witha modified form of WaveClus are demonstrated.
AU - Williams,I
AU - Luan,S
AU - Jackson,A
AU - Constandinou,TG
DO - 10.1109/BioCAS.2015.7348330
EP - 191
PB - IEEE
PY - 2015///
SP - 187
TI - A scalable 32 channel neural recording and real-time FPGA based spike sorting system
UR - http://dx.doi.org/10.1109/BioCAS.2015.7348330
UR - http://hdl.handle.net/10044/1/27018
ER -
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