AHEAD: Automatic Holistic Energy-Aware Design Methodology for MLP Neural Network Hardware Generation in Proactive BMI Edge Devices

AHEAD: Automatic Holistic Energy-Aware Design Methodology for MLP Neural Network Hardware Generation in Proactive BMI Edge Devices

The prediction of a high-level cognitive function based on a proactive brain–machine interface (BMI) control edge device is an emerging technology for improving the quality of life for disabled people. However, maintaining the stability of multiunit neural recordings is made difficult by the nonstat...

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Bibliographic Details
Main Authors: Nan-Sheng Huang, Yi-Chung Chen, Jørgen Christian Larsen, Poramate Manoonpong
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
neural network
edge device
field-programmable gate array
hardware acceleration
high-level synthesis
energy-aware design
Online Access:https://www.mdpi.com/1996-1073/13/9/2180

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https://www.mdpi.com/1996-1073/13/9/2180

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