output
20002025
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations

Showing q-bio.NCShow all

5 papers · 1 filter

q-bio.NC2024★ 4 cited

Simulation-based Inference of Developmental EEG Maturation with the Spectral Graph Model

Danilo Bernardo, Xihe Xie, Parul Verma +8

The spectral content of macroscopic neural activity evolves throughout development, yet how this maturation relates to underlying brain network formation and dynamics remains unkno…

q-bio.NC2022★ 14 cited

A Transformer-based Neural Language Model that Synthesizes Brain Activation Maps from Free-Form Text Queries

Gia H. Ngo, Minh Nguyen, Nancy F. Chen +1

Neuroimaging studies are often limited by the number of subjects and cognitive processes that can be feasibly interrogated. However, a rapidly growing number of neuroscientific stu…

q-bio.NC2019★ 1 cited

Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory

Qiongge Li, Luca Pasquini, Gino Del Ferraro +4

Pre-surgical language mapping with functional magnetic resonance imaging (fMRI) is routinely conducted to assist the neurosurgeon in preventing damage to brain regions responsible…

q-bio.NC2016

The leaky integrator with recurrent inhibition as a predictor

Henning U. Voss

It is shown that the leaky integrator, the basis for many neuronal models, possesses a negative group delay when a time-delayed recurrent inhibition is added to it. By means of thi…

q-bio.NC2009★ 263 cited

A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale

Jason W. Bohland, Caizhi Wu, Helen Barbas +34

In this era of complete genomes, our knowledge of neuroanatomical circuitry remains surprisingly sparse. Such knowledge is however critical both for basic and clinical research int…