September, 2020 SDU published the work “End-to-End Rapid FPGA Prototyping for Embedded Proactive BMI Control“
This paper presents an end-to-end rapid prototyping methodology that performs automated and efficient mapping of desired neural networks onto FPGA. The design automation agent is considered as Autobot. An early prototype with the hardware decoder generated on the FPGA has been built, and its functionality has been evaluated. The experimental results show that Autobot can offer rapid end-to-end prototyping for neural network hardware generation for proactive BMI control.