A Neural Probe With Up to 966 Electrodes and Up to 384 Configurable Channels in 0.13 μm SOI CMOS
- Submitting institution
-
University of Edinburgh
(joint submission with Heriot-Watt University)
- Unit of assessment
- 12 - Engineering
- Output identifier
- 58465440
- Type
- D - Journal article
- DOI
-
10.1109/TBCAS.2016.2646901
- Title of journal
- IEEE Transactions on Biomedical Circuits and Systems
- Article number
- -
- First page
- 510
- Volume
- 11
- Issue
- 3
- ISSN
- 1932-4545
- Open access status
- Technical exception
- Month of publication
- May
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
14
- Research group(s)
-
C - SSS
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper demonstrates the methodology for making ultra-high-density neural recording using silicon probes, exceeding at the time of publication the capabilities of existing technologies. The patent was granted (US, No. 10,044,325) and assigned to IMEC (https://www.imec-int.com/en), which launched the commercial product in 2018 (https://www.neuropixels.org). It’s referenced as a key tool for novel neuroscientific experiments by the Wellcome Trust (https://tinyurl.com/y4m4s5c6). The UCL organises annual well-attended course (https://www.ucl.ac.uk/neuropixels/courses) based primarily on this work. The paper impacted a number of studies by leading research groups, e.g. Princeton University, USA (DOI:10.7554/eLife.59716), University of Michigan, USA (DOI:10.1038/s41378-020-0149-z, DOI:10.1088/1741-2552/ab7030) and Stanford University, USA (DOI:10.1016/j.matt.2020.08.002, DOI:10.1038/s41551-020-0595-9, DOI:10.1109/IEDM19573.2019.8993611).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
