HIGHLIGHTS
- who: Sahaj Anilbhai Patel from the National Institute of Technology, India King Abdulaziz University, Saudi Arabia have published the article: Non-stationary neural signal to image conversion framework for image-based deep learning algorithms, in the Journal: (JOURNAL)
- how: This paper presents a robust preprocessing approach to classify neural spikes in 2D CNN by converting 1D non-stationary neural recording into a 2D image representation.
SUMMARY
In the preprocessing feature extraction or representation step, most researchers employed different Frequency and TimeFrequency (TF) domain methods that convert 1D non-stationary signals into . . .
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