1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS16 papers
- Massachusetts Institute of TechnologyUS8 papers
- Czech Academy of Sciences, Institute of Computer ScienceCZ6 papers
- University of CambridgeGB6 papers
- University of OxfordGB5 papers
- University College LondonGB4 papers
- Bernstein Center for Computational Neuroscience BerlinDE3 papers
- Charité - Universitätsmedizin BerlinDE3 papers
- Columbia UniversityUS3 papers
- Czech Academy of SciencesCZ3 papers
- Georgia Institute of TechnologyUS3 papers
- Harvard UniversityUS3 papers
4 papers · 2 filters
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIs
Rino Saiga, Kaede Shiga, Yo Maruta +19
Mouse and human brains have different functions that depend on their neuronal networks. In this study, we analyzed nanometer-scale three-dimensional structures of brain tissues of…
Processing, evaluating and understanding FMRI data with afni_proc.py
Richard C. Reynolds, Daniel R. Glen, Gang Chen +3
FMRI data are noisy, complicated to acquire, and typically go through many steps of processing before they are used in a study or clinical practice. Being able to visualize and und…
Reliability and predictability of phenotype information from functional connectivity in large imaging datasets
Jessica Dafflon, Dustin Moraczewski, Eric Earl +5
One of the central objectives of contemporary neuroimaging research is to create predictive models that can disentangle the connection between patterns of functional connectivity a…
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…