3 papers
cs.LG2025
Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series
Pedram Rajaei, Maryam Ostadsharif Memar, Navid Ziaei +2
The manifold hypothesis suggests that high-dimensional neural time series lie on a low-dimensional manifold shaped by simpler underlying dynamics. To uncover this structure, latent…
q-bio.NC2024
RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier
Maryam Ostadsharif Memar, Navid Ziaei, Behzad Nazari +1
Intracranial electroencephalography (iEEG) is increasingly used for clinical and brain-computer interface applications due to its high spatial and temporal resolution. However, int…
cs.LG2024
Latent Variable Double Gaussian Process Model for Decoding Complex Neural Data
Navid Ziaei, Joshua J. Stim, Melanie D. Goodman-Keiser +4
Non-parametric models, such as Gaussian Processes (GP), show promising results in the analysis of complex data. Their applications in neuroscience data have recently gained tractio…