stands for Digital Object Identifier
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
-  F. Shahrokhi, K. Abdelhalim, D. Serletis, P. L. Carlen, and R. Genov, “The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation Interface,” IEEE Trans. Biomed. Circ. Sys., vol. 4, no. 3, June 2010
-  J. Lee, H. G. Rhew, D. R. Kipke, and M. P. Flynn, “A 64 Channel Programmable Closed-Loop Neurostimulator With 8 Channel Neural Ampliﬁer and Logarithmic ADC,” IEEE J. Solid-State Circuits, vol. 45, no. 9 pp. 1935–1945, September 2010.
-  A. V. Nurmikko, J. P. Donoghue, L. R. Hochberg, W. R. Patterson, Y. K. Song, C. W. Bull, D. A. Borton, F. Laiwalla, S. Park, Y. Ming, and J. Aceros, “Listening to Brain Microcircuits for Interfacing With External World-Progress in Wireless Implantable Microelectronic Neuroengineering Devices,” Proceedings of the IEEE, vol. 98, pp. 385-388, March 2010.
-  R. R. Harrison, R. J. Kier, C. A. Chestek, V. Gilja, P. Nuyujukian, S. I. Ryu, B. Greger, F. Solzbacher, and K. V. Shenoy, “Wireless neural recording with single low-power integrated circuit,” IEEE Trans. Neural Syst. Rehabil. Eng., vol. 17, no. 4, Aug. 2009.
-  M. Mollazadeh, K. Murari, G. Cauwenberghs, and N. Thakor, “Micropower CMOS integrated low-noise ampliﬁcation, ﬁltering, and digitization of multimodal neuropotentials,” IEEE Trans. Biomed. Circuits Syst., vol. 3, no. 1, pp. 1–10, Feb. 2009.
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