Striving toward translation: strategies for reliable fMRI measurement
ML Elliott, AR Knodt, AR Hariri - Trends in cognitive sciences, 2021 - cell.com
fMRI has considerable potential as a translational tool for understanding risk, prioritizing
interventions, and improving the treatment of brain disorders. However, recent studies have …
interventions, and improving the treatment of brain disorders. However, recent studies have …
[HTML][HTML] Large, open datasets for human connectomics research: Considerations for reproducible and responsible data use
AR Laird - NeuroImage, 2021 - Elsevier
Large, open datasets have emerged as important resources in the field of human
connectomics. In this review, the evolution of data sharing involving magnetic resonance …
connectomics. In this review, the evolution of data sharing involving magnetic resonance …
What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines?
The rapid development and open-source release of highly performant computer vision
models offers new potential for examining how different inductive biases impact …
models offers new potential for examining how different inductive biases impact …
Leveraging the power of media to drive cognition: A media-informed approach to naturalistic neuroscience
C Grall, ES Finn - Social Cognitive and Affective Neuroscience, 2022 - academic.oup.com
So-called 'naturalistic'stimuli have risen in popularity in cognitive, social and affective
neuroscience over the last 15 years. However, a critical property of these stimuli is frequently …
neuroscience over the last 15 years. However, a critical property of these stimuli is frequently …
Multitask representations in the human cortex transform along a sensory-to-motor hierarchy
Human cognition recruits distributed neural processes, yet the organizing computational and
functional architectures remain unclear. Here, we characterized the geometry and …
functional architectures remain unclear. Here, we characterized the geometry and …
Scan once, analyse many: using large open-access neuroimaging datasets to understand the brain
CR Madan - Neuroinformatics, 2022 - Springer
We are now in a time of readily available brain imaging data. Not only are researchers now
sharing data more than ever before, but additionally large-scale data collecting initiatives …
sharing data more than ever before, but additionally large-scale data collecting initiatives …
Neurogen: activation optimized image synthesis for discovery neuroscience
Functional MRI (fMRI) is a powerful technique that has allowed us to characterize visual
cortex responses to stimuli, yet such experiments are by nature constructed based on a …
cortex responses to stimuli, yet such experiments are by nature constructed based on a …
Unveiling functions of the visual cortex using task-specific deep neural networks
The human visual cortex enables visual perception through a cascade of hierarchical
computations in cortical regions with distinct functionalities. Here, we introduce an AI-driven …
computations in cortical regions with distinct functionalities. Here, we introduce an AI-driven …
Computational models of cortical folding: a review of common approaches
The process of gyrification, by which the brain develops the intricate pattern of gyral hills and
sulcal valleys, is the result of interactions between biological and mechanical processes …
sulcal valleys, is the result of interactions between biological and mechanical processes …
[PDF][PDF] Large-scale benchmarking of diverse artificial vision models in prediction of 7T human neuroimaging data
Rapid simultaneous advances in machine vision and cognitive neuroimaging present an
unparalleled opportunity to (re) assess the current state of artificial models of the human …
unparalleled opportunity to (re) assess the current state of artificial models of the human …