output
20102024
most citedLarge language models surpass human experts in predicting neuroscience results

134 citations

5 papers

q-bio.NC2024★ 134 cited

Large language models surpass human experts in predicting neuroscience results

Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun +36

Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offe…

q-bio.QM2017★ 4 cited

A brain signature highly predictive of future progression to Alzheimer's dementia

Christian Dansereau, Angela Tam, AmanPreet Badhwar +4

Early prognosis of Alzheimer's dementia is hard. Mild cognitive impairment (MCI) typically precedes Alzheimer's dementia, yet only a fraction of MCI individuals will progress to de…

q-bio.QM2016★ 103 cited

Statistical power and prediction accuracy in multisite resting-state fMRI connectivity

Christian Dansereau, Yassine Benhajali, Celine Risterucci +4

Connectivity studies using resting-state functional magnetic resonance imaging are increasingly pooling data acquired at multiple sites. While this may allow investigators to speed…

stat.ML2015★ 13 cited

A Bayesian alternative to mutual information for the hierarchical clustering of dependent random variables

Guillaume Marrelec, Arnaud Messé, Pierre Bellec

The use of mutual information as a similarity measure in agglomerative hierarchical clustering (AHC) raises an important issue: some correction needs to be applied for the dimensio…

stat.AP2010★ 63 cited

A Network Analysis Approach to fMRI Condition-Specific Functional Connectivity

Svetlana V. Shinkareva, Vladimir Gudkov, Jing Wang

In this work we focus on examination and comparison of whole-brain functional connectivity patterns measured with fMRI across experimental conditions. Direct examination and compar…