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uBrain: a unary brain computer interface

Authors:

Joshua San MiguelAuthors Info & Claims

ISCA '22: Proceedings of the 49th Annual International Symposium on Computer Architecture

Pages 468 - 481

https://doi.org/10.1145/3470496.3527401

Published: 11 June 2022 Publication History

Abstract

Brain computer interfaces (BCIs) have been widely adopted to enhance human perception via brain signals with abundant spatial-temporal dynamics, such as electroencephalogram (EEG). In recent years, BCI algorithms are moving from classical feature engineering to emerging deep neural networks (DNNs), allowing to identify the spatial-temporal dynamics with improved accuracy. However, existing BCI architectures are not leveraging such dynamics for hardware efficiency. In this work, we present uBrain, a unary computing BCI architecture for DNN models with cascaded convolutional and recurrent neural networks to achieve high task capability and hardware efficiency. uBrain co-designs the algorithm and hardware: the DNN architecture and the hardware architecture are optimized with customized unary operations and immediate signal processing after sensing, respectively. Experiments show that uBrain, with negligible accuracy loss, surpasses the CPU, systolic array and stochastic computing baselines in on-chip power efficiency by 9.0×, 6.2× and 2.0×.

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Shoushtari Moghadam MAygun SBanitaba FNajafi MDev KYoo JMeinerzhagen P(2024)All You Need is Unary: End-to-End Unary Bit-stream Processing in Hyperdimensional ComputingProceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design10.1145/3665314.3670834(1-6)Online publication date: 5-Aug-2024
https://dl.acm.org/doi/10.1145/3665314.3670834
Lee HJang YJung DSong SKim J(2024)Rearchitecting a Neuromorphic Processor for Spike-Driven Brain-Computer Interfacing2024 57th IEEE/ACM International Symposium on Microarchitecture (MICRO)10.1109/MICRO61859.2024.00082(1073-1089)Online publication date: 2-Nov-2024
https://doi.org/10.1109/MICRO61859.2024.00082
Wan ZLiu CYang HRaj RLi CYou HFu YWan CSamajdar ALin YKrishna TRaychowdhury A(2024)Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)10.1109/ISPASS61541.2024.00033(268-279)Online publication date: 5-May-2024
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Index Terms

uBrain: a unary brain computer interface
1. Computing methodologies
  1. Artificial intelligence
  2. Symbolic and algebraic manipulation
    1. Computer algebra systems
      1. Special-purpose algebraic systems
2. Hardware
  1. Emerging technologies
    1. Emerging interfaces
  2. Very large scale integration design
    1. Application-specific VLSI designs
      1. Application specific integrated circuits

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cover image ACM Conferences

ISCA '22: Proceedings of the 49th Annual International Symposium on Computer Architecture

June 2022

1097 pages

ISBN:9781450386104

DOI:10.1145/3470496

General Chairs:
Valentina Salapura
Google
,
Mohamed Zahran
New York University
,
Program Chairs:
Fred Chong
The University of Chicago
,
Lingjia Tang
The University of Michigan

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Cited By

Shoushtari Moghadam MAygun SBanitaba FNajafi MDev KYoo JMeinerzhagen P(2024)All You Need is Unary: End-to-End Unary Bit-stream Processing in Hyperdimensional ComputingProceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design10.1145/3665314.3670834(1-6)Online publication date: 5-Aug-2024
https://dl.acm.org/doi/10.1145/3665314.3670834
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