3 accepted papers
Understanding the interactions between the central nervous system and muscular responses is essential for developing effective strategies to diagnose and manage movement disorders such as dystonia. This study addresses these complex interactions by introducing a novel non-linear forecasting method f…
Cortico-muscular communication patterns reveal important information about motor control. However, inferring significant causal relationships between motor cortex electroencephalogram (EEG) and surface electromyogram (sEMG) of concurrently active muscles is challenging since relevant processes invol…
This paper proposes a novel framework to regularize the highly ill-posed and non-linear Fourier ptychography problem using generative models. We demonstrate experimentally that our proposed algorithm, Deep Ptych, outperforms the existing Fourier ptychography techniques, in terms of quality of recons…