activity
20192026
most citedSolving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models

7 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Softmax-Free Attention in Spiking Transformers as the Zero-Temperature Limit of Two-Level Systems

Roberto C. Sotero, Pouya Taghipour, Jose M. Sanchez-Bornot

Spiking Transformers achieve energy efficiency by discarding softmax normalization in favor of thresholded, binary attention. However, this removal breaks the thermodynamic framewo…

eess.SY2025

Tunnelling Through Time Series: A Probabilistic Visibility Graph for Local and Global Pattern Discovery

Roberto Sotero, Jose Sanchez-Bornot

The growing availability of high-resolution, long-term time series data has highlighted the need for methods capable of capturing both local and global patterns. To address this, w…

cs.LG2024★ 2 cited

Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines

Alwani Liyana Ahmad, Jose Sanchez-Bornot, Roberto C. Sotero +3

MEG are non invasive neuroimaging techniques with excellent temporal and spatial resolution, crucial for studying brain function in dementia and Alzheimer Disease. They identify ch…

q-bio.NC2024

A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment

Alwani Liyana Ahmad, Jose Sanchez-Bornot, Roberto C. Sotero +3

Alzheimer Disease poses a significant challenge, necessitating early detection for effective intervention. MRI is a key neuroimaging tool due to its ease of use and cost effectiven…

stat.CO2022★ 7 cited

Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models

Jose M. Sanchez-Bornot, Roberto C. Sotero, Scott Kelso +1

State-space models are widely employed across various research disciplines to study unobserved dynamics. Conventional estimation techniques, such as Kalman filtering and expectatio…

q-bio.NC2019★ 1 cited

Cross-frequency interactions during diffusion on complex brain networks are facilitated by scale-free properties

Roberto C. Sotero, Lazaro M. Sanchez-Rodriguez, Mehdy Dousty +2

We studied the interactions between different temporal scales of diffusion processes on complex networks and found them to be stronger in scale-free (SF) than in Erdos-Renyi (ER) n…