134 citations
- Instituto CajalES3 papers
- Massachusetts Institute of TechnologyUS3 papers
- University College LondonGB3 papers
- University of OxfordGB3 papers
- University of PennsylvaniaUS3 papers
- Charité - Universitätsmedizin BerlinDE2 papers
- Christian-Albrechts-Universität zu KielDE2 papers
- Columbia UniversityUS2 papers
- Czech Academy of Sciences, Institute of Computer ScienceCZ2 papers
- Dartmouth CollegeUS2 papers
- Georgia Institute of TechnologyUS2 papers
- Ghent UniversityBE2 papers
20 papers
Characterizing Timing Parameters in Commercial SERF-OPM Multichannel Systems for Biomagnetic Field Sensing
Eric Elzenheimer, Hartmut Matz, Jan Zerfowski +6
Spin-Exchange Relaxation-Free Optically Pumped Magnetometers (SERF-OPMs) are increasingly used in multichannel biomagnetic sensing, yet their timing performance remains poorly char…
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…
A sensitivity analysis to quantify the impact of neuroimaging preprocessing strategies on subsequent statistical analyses
Brice Ozenne, Martin Norgaard, Cyril Pernet +1
Even though novel imaging techniques have been successful in studying brain structure and function, the measured biological signals are often contaminated by multiple sources of no…
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…