Please use this identifier to cite or link to this item:
|Title:||A new system architecture for future long-term high-density neural recording|
|Authors:||Xu, J. |
|Keywords:||Dynamic range (DR)|
|Citation:||Xu, J., Wu, T., Yang, Z. (2013). A new system architecture for future long-term high-density neural recording. IEEE Transactions on Circuits and Systems II: Express Briefs 60 (7) : 403-406. ScholarBank@NUS Repository. https://doi.org/10.1109/TCSII.2013.2258270|
|Abstract:||This brief presents a new system architecture for neural recording to allow higher recording density and more tolerance to interface degeneration and artifacts. Compared with its conventional counterpart, the proposed architecture has a frequency-dependent gain stage that inherently rejects dc offset and attenuates low-frequency interferences. In the digital domain, frequency compensation is used to restore the signals 'seen' by an electrode. Powered by a switched-capacitor design, the proposed architecture can lead to major improvements on system performance metrics, including input impedance, distortion, and dynamic range. In simulations with different electrode sizes and degeneration levels, the proposed architecture consistently gives high-fidelity recording data. We argue that the proposed architecture is more suitable for long-term high-density invasive brain-computer interface experiments as a replacement to better support a mimicked 'Moore's Law' on recording density. © 2004-2012 IEEE.|
|Source Title:||IEEE Transactions on Circuits and Systems II: Express Briefs|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Nov 10, 2018
WEB OF SCIENCETM
checked on Oct 17, 2018
checked on Nov 3, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.