| Autor: |
Bart Dierickx, Matthew R Angle, Matthew S Hopper, Malgorzata Straka, Veijalainen S, Ingrid McNamara, LaReau C, Kunal Sahasrabuddhe, Robert Edgington, Klekachev Av, Kevin M Boergens, Mina-Elraheb S Hanna, Orel P, Yifan Kong, Stuckey Am, Nishimura K, Gao P, Bert Luyssaert, Aamir A. Khan, Ng Y, Shivakumar S, Aleksandar Tadić, Chong Xie, Singh Ap, Amir Babaie-Fishani, Gilja, Kerr B, Harbaljit S. Sohal, Devin Fell, Pouzzner D, Kozai Tdy, Stern Tm |
| Rok vydání: |
2020 |
| Předmět: |
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| Popis: |
Here we demonstrate the Argo System, 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 built to date, supporting simultaneous recording from 65,536 channels, sampled at over 32 kHz and 12-bit resolution. This system is designed for cortical recordings, compatible with both penetrating and surface microelectrodes. We have validated this system by recording spiking activity from 791 neurons in rats and cortical surface Local Field Potential (LFP) activity from over 30,000 channels in 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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