Demo Data from VLDB 2026 / reviewers in the wild / expert
Gayatri E. Perlin
dblp:202/4105
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Medical and health informatics
neural prosthesis |
0.1 | 1 | 2008 | Microelectrodes, Microelectronics, and Implantable Neural Microsystems · Proc. IEEE 2008 |
Medical and health informatics
neurostimulation |
0.1 | 1 | 2008 | Microelectrodes, Microelectronics, and Implantable Neural Microsystems · Proc. IEEE 2008 |
Methods — techniques the papers use, named apart from their topics
lithographic microelectrode array · 0.1embedded signal processing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Microelectrodes, Microelectronics, and Implantable Neural MicrosystemsabstractLithographically defined microelectrode arrays now permit high-density recording and stimulation in the brain and are facilitating new insights into the organization and function of the central nervous system. They will soon allow more detailed mapping of neural structures than has ever before been possible, and capabilities for highly localized drug-delivery are being added for treating disorders such as severe epilepsy. For chronic neuroscience and neuroprosthesis applications, the arrays are being used in implantable microsystems that provide embedded signal processing and wireless data transmission to the outside world. A 64-channel microsystem amplifies the neural signals by 60 dB with a user-programmable bandwidth and an input-referred noise level of 8$\mu{\hbox{V}}_{\rm rms}$before processing the signals digitally. The channels can be scanned at a rate of 62.5 kS/s, and signals above a user-specified biphasic threshold are transmitted wirelessly to the external world at 2 Mbps. Individual channels can also be digitized and viewed externally at high resolution to examine spike waveforms. The microsystem dissipates 14.14 mW from 1.8 V and measures 1.4$\times$1.55 cm$^2$. Kensall D. Wise, Amir M. Sodagar, Mayurachat Ning Gulari, Gayatri E. Perlin, Khalil Najafi |
Proc. IEEE | 5 |