output
20132026
most citedThe scientific case for brain simulations

214 citations

31 papers

astro-ph.EP2026

Detection of propadiene (CHCCH), propene (CH) and non-detection of propane (CH) in Jupiter's northern polar stratosphere

James A. Sinclair, Thomas K. Greathouse, Rohini S. Giles +8

We report the first detection of stratospheric propadiene (CHCCH) and propene (CH) at Jupiter's mid-to-high northern latitudes using IRTF-TEXES measurements recorde…

cs.HC2025

Neuronal avalanches as a predictive biomarker of BCI performance: towards a tool to guide tailored training program

Camilla Mannino, Pierpaolo Sorrentino, Mario Chavez +1

Brain-Computer Interfaces (BCIs) based on motor imagery (MI) hold promise for restoring control in individuals with motor impairments. However, up to 30% of users remain unable to…

cond-mat.stat-mech2024★ 2 cited

Topological phase transition in anti-symmetric Lotka-Volterra doublet chain

Rukmani Bai, Sourin Chatterjee, Ujjwal Shekhar +3

We present the emergence of topological phase transition in the minimal model of two dimensional rock-paper-scissors cycle in the form of a doublet chain. The evolutionary dynamics…

q-bio.OT2023★ 60 cited

The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111

The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…

physics.soc-ph2023★ 15 cited

An integrative dynamical perspective for graph theory and the study of complex networks

Gorka Zamora-López, Matthieu Gilson

Built upon the shoulders of graph theory, the field of complex networks has become a central tool for studying real systems across various fields of research. Represented as graphs…

q-bio.NC2023★ 1 cited

Neuronal architecture extracts statistical temporal patterns

Sandra Nestler, Moritz Helias, Matthieu Gilson

Neuronal systems need to process temporal signals. We here show how higher-order temporal (co-)fluctuations can be employed to represent and process information. Concretely, we dem…