The Argo: a high channel count recording system for neural recording in vivo. (5th February 2021)
- Record Type:
- Journal Article
- Title:
- The Argo: a high channel count recording system for neural recording in vivo. (5th February 2021)
- Main Title:
- The Argo: a high channel count recording system for neural recording in vivo
- Authors:
- Sahasrabuddhe, Kunal
Khan, Aamir A
Singh, Aditya P
Stern, Tyler M
Ng, Yeena
Tadić, Aleksandar
Orel, Peter
LaReau, Chris
Pouzzner, Daniel
Nishimura, Kurtis
Boergens, Kevin M
Shivakumar, Sashank
Hopper, Matthew S
Kerr, Bryan
Hanna, Mina-Elraheb S
Edgington, Robert J
McNamara, Ingrid
Fell, Devin
Gao, Peng
Babaie-Fishani, Amir
Veijalainen, Sampsa
Klekachev, Alexander V
Stuckey, Alison M
Luyssaert, Bert
Kozai, Takashi D Y
Xie, Chong
Gilja, Vikash
Dierickx, Bart
Kong, Yifan
Straka, Malgorzata
Sohal, Harbaljit S
Angle, Matthew R
… (more) - Abstract:
- Abstract: Objective. Decoding neural activity has been limited by the lack of tools available to record from large numbers of neurons across multiple cortical regions simultaneously with high temporal fidelity. To this end, we developed the Argo system to record cortical neural activity at high data rates. Approach. Here we demonstrate a massively parallel neural recording system based on platinum-iridium microwire electrode arrays bonded to a CMOS voltage amplifier array. The Argo system is the highest channel count in vivo neural recording system, supporting simultaneous recording from 65 536 channels, sampled at 32 kHz and 12-bit resolution. This system was designed for cortical recordings, compatible with both penetrating and surface microelectrodes. Main results. We validated this system through initial bench testing to determine specific gain and noise characteristics of bonded microwires, followed by in-vivo experiments in both rat and sheep cortex. We recorded spiking activity from 791 neurons in rats and surface local field potential activity from over 30 000 channels in sheep. Significance. These are the largest channel count microwire-based recordings in both rat and sheep. While currently adapted for head-fixed recording, the microwire-CMOS architecture is well suited for clinical translation. Thus, this demonstration helps pave the way for a future high data rate intracortical implant.
- Is Part Of:
- Journal of neural engineering. Volume 18:Number 1(2021)
- Journal:
- Journal of neural engineering
- Issue:
- Volume 18:Number 1(2021)
- Issue Display:
- Volume 18, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 18
- Issue:
- 1
- Issue Sort Value:
- 2021-0018-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02-05
- Subjects:
- microelectrode array -- microwires -- auditory cortex -- brain–computer interface -- electrophysiology -- sheep -- rats
Neurosciences -- Periodicals
Biomedical engineering -- Periodicals
612.8 - Journal URLs:
- http://iopscience.iop.org/1741-2552/ ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1741-2552/abd0ce ↗
- Languages:
- English
- ISSNs:
- 1741-2560
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 15912.xml