Name
Abstract | ||
|---|---|---|
Modern microtechnology is enabling the channel count of neural recording integrated circuits to scale exponentially. However, the raw data bandwidth of these systems is increasing proportionately, presenting major challenges in terms of power consumption and data transmission (especially for wireless systems). This paper presents a system that exploits the sparse nature of neural signals to addres... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TBCAS.2017.2759339 | IEEE Transactions on Biomedical Circuits and Systems |
Keywords | Field | DocType |
Bandwidth,Biomedical measurement,Neurons,Systems architecture,Low power electronics,System-on-chip | System on a chip,Spike sorting,Data transmission,Computer science,Communication channel,CMOS,Electronic engineering,Bandwidth (signal processing),Throughput,Latency (engineering),Computer hardware | Journal |
Volume | Issue | ISSN |
11 | 6 | 1932-4545 |
Citations | PageRank | References |
3 | 0.43 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Liu | 1 | 30 | 11.70 |
| Song Luan | 2 | 11 | 4.85 |
| i n williams | 3 | 5 | 2.20 |
| Adrien Rapeaux | 4 | 3 | 1.11 |
| Timothy G. Constandinou | 5 | 78 | 38.42 |