Search Results for author:
Found 4 papers, 1 papers with code
Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks
We introduce for the first time the utilization of Long short-term memory (LSTM) neural network architectures for the compensation of fiber nonlinearities in digital coherent systems.
Unsupervised learning of the brain connectivity dynamic using residual D-net
In this paper, we propose a novel unsupervised learning method to learn the brain dynamics using a deep learning architecture named residual D-net.
Information Assisted Dictionary Learning for fMRI data analysis
The new method allows the incorporation of a priori knowledge associated both with the experimental design as well as with available brain Atlases.
Assisted Dictionary Learning for fMRI Data Analysis
Extracting information from functional magnetic resonance (fMRI) images has been a major area of research for more than two decades.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
