activity
20042023
most citedKernel method for nonlinear Granger causality

413 citations · 1.7k across the 44 of their papers we have counts for

collaborators

49 papers

q-bio.QM2023

Sparse electrophysiological source imaging predicts aging-related gait speed slowing

Vega-Hernandez, Mayrim, Galan-Garcia +17

Objective: We seek stable Electrophysiological Source Imaging (ESI) biomarkers associated with Gait Speed (GS) as a measure of functional decline. Towards this end we determine the…

cs.DC2023★ 75 cited

brainlife.io: A decentralized and open source cloud platform to support neuroscience research

Soichi Hayashi, Bradley A. Caron, Anibal Sólon Heinsfeld +61

Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the comple…

q-bio.NC2022★ 1 cited

Frontal effective connectivity increases with task demands and time on task: a Dynamic Causal Model of electrocorticogram in macaque monkeys

Katharina Wegner, Charles R. E. Wilson, Emmanuel Procyk +4

We apply Dynamic Causal Models to electrocorticogram recordings from two macaque monkeys performing a problem-solving task that engages working memory, and induces time-on-task eff…

physics.data-an2021★ 26 cited

Quantifying high-order interdependencies on individual patterns via the local O-information: theory and applications to music analysis

Tomas Scagliarini, Daniele Marinazzo, Yike Guo +2

High-order, beyond-pairwise interdependencies are at the core of biological, economic, and social complex systems, and their adequate analysis is paramount to understand, engineer,…

cs.DL2020★ 2 cited

PRINCIPIA: a Decentralized Peer-Review Ecosystem

Andrea Mambrini, Andrea Baronchelli, Michele Starnini +2

Peer review is a cornerstone of modern scientific endeavor. However, there is growing consensus that several limitations of the current peer review system, from lack of incentives…

q-bio.NC2020

Quantifying dynamical high-order interdependencies from the O-information: an application to neural spiking dynamics

Sebastiano Stramaglia, Tomas Scagliarini, Bryan C. Daniels +1

We address the problem of efficiently and informatively quantifying how multiplets of variables carry information about the future of the dynamical system they belong to. In partic…