Name
Title | ||
|---|---|---|
Live demonstration: A scalable 32-channel neural recording and real-time FPGA based spike sorting system |
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
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup>
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/BioCAS.2015.7348330 | 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS) |
Keywords | Field | DocType |
graphical user interfaces,real-time data,template generation,WaveClus,FX3 USB 3.0 controller,low-power Igloo® nanoFPGA,Intan RHD2132 neural amplifier,real-time on-node spike sorting,real-time FPGA-based spike sorting system,scalable 32-channel neural recording,live demonstration | Control theory,Spike sorting,Computer science,Communication channel,Field-programmable gate array,Electronic engineering,Graphical user interface,Computer hardware,USB,Amplifier,Embedded system,Scalability | Conference |
ISSN | Citations | PageRank |
2163-4025 | 2 | 0.42 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| i n williams | 1 | 5 | 2.20 |
| Song Luan | 2 | 11 | 4.85 |
| A Jackson | 3 | 30 | 4.43 |
| Timothy G. Constandinou | 4 | 78 | 38.42 |