SCALO: An Accelerator-Rich Distributed System for Scalable Brain-Computer Interfacing

被引：4

作者：

Sriram, Karthik ^{[1
,2
]}

Pothukuchi, Raghavendra Pradyumna ^{[1
]}

Gerasimiuk, Michal ^{[1
]}

Ugur, Muhammed ^{[1
]}

Ye, Oliver ^{[1
]}

Manohar, Rajit ^{[1
]}

Khandelwal, Anurag ^{[1
]}

Bhattacharjee, Abhishek ^{[1
]}

机构：

[1] Yale Univ, New Haven, CT 06520 USA

[2] SCALO, Wroclaw, Poland

来源：

PROCEEDINGS OF THE 2023 THE 50TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE, ISCA 2023 | 2023年

关键词：

Brain-Computer Interfaces; BCI; HardwareAccelerators; Low Power; ACTION-POTENTIALS; SIGNAL; COMMUNICATION; OPTIMIZATION; STIMULATION; RECORDINGS; SEIZURES; PROGRESS; EPILEPSY; NEURONS;

D O I：

10.1145/3579371.3589107

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

SCALO is the first distributed brain-computer interface (BCI) consisting of multiple wireless-networked implants placed on different brain regions. SCALO unlocks new treatment options for debilitating neurological disorders and new research into brain-wide network behavior. Achieving the fast and low-power communication necessary for real-time processing has historically restricted BCIs to single brain sites. SCALO also adheres to tight power constraints, but enables fast distributed processing. Central to SCALO's efficiency is its realization as a full stack distributed system of brain implants with accelerator-rich compute. SCALO balances modular system layering with aggressive cross-layer hardware-software co-design to integrate compute, networking, and storage. The result is a lesson in designing energy-efficient networked distributed systems with hardware accelerators from the ground up.

引用

页码：1006 / 1025

页数：20

共 50 条

[41] Whatever Works: A Systematic User-Centered Training Protocol to Optimize Brain-Computer Interfacing Individually
Friedrich, Elisabeth V. C.
Neuper, Christa
Scherer, Reinhold
PLOS ONE, 2013, 8 (09):
[42] Home automation system controlled through a brain-computer interface
Velasco-Alvarez, Francisco Velasco
Fernandez-Rodriguez, Alvaro
Ron-Angevin, Ricardo
REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL, 2023, 20 (02): : 224 - 235
[43] The Development of a Smart House System Based on Brain-Computer Interface
Luo, Zhendong
Han, Shun
Duan, Feng
2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2015, : 1012 - 1017
[44] MasterMind: Many-Accelerator SoC Architecture for Real-Time Brain-Computer Interfaces
Eichler, Guy
Piccolboni, Luca
Giri, Davide
Carloni, Luca P.
2021 IEEE 39TH INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD 2021), 2021, : 101 - 108
[45] Controlling of smart home system based on brain-computer interface
Gao, Qiang
Zhao, Xuewen
Yu, Xiao
Song, Yu
Wang, Zhe
TECHNOLOGY AND HEALTH CARE, 2018, 26 (05) : 769 - 783
[46] An Interference Elimination Algorithm for Group Brain-Computer Interface System
Ren, Haiying
Huang, Xinxuan
Tang, Xiaoyong
2022 IEEE 12TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2022, : 980 - 982
[47] Optical Non-Invasive Brain-Computer Interface System
Lebid, Solomiya
2018 14TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET), 2018, : 743 - 747
[48] A Quadrotor Helicopter Control System Based on Brain-computer Interface
Song, Yu
Liu, Junjie
Gao, Qiang
Liu, Min
2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2015, : 1478 - 1483
[49] A Novel SSVEP Brain-Computer Interface System Based on Simultaneous Modulation of Luminance and Motion
Li, Meng
Li, Ning
Gao, Xiaorong
Ma, Ruijuan
Dong, Jianwei
Chen, Xiaogang
Cui, Hongyan
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2023, 31 : 1149 - 1157
[50] A P300 Brain-Computer Interface Design for Virtual Remote Control System
Shi, Kaiyang
Gao, Ning
Li, Qi
Bai, Ou
CONFERENCE PROCEEDINGS OF 2017 3RD IEEE INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE), 2017, : 326 - 329

← 1 2 3 4 5 →