Denoising diffusion models, a class of generative models, have garnered immense interest
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …

Denoising diffusion models, a class of generative models, have garnered immense interest
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …

Extensive sampling of neural activity during rich cognitive phenomena is critical for robust
understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …

Multimodal astrocyte–neuron communications govern brain circuitry assembly and function.
For example, through rapid glutamate release, astrocytes can control excitability, plasticity …

MRtrix3 is an open-source, cross-platform software package for medical image processing,
analysis and visualisation, with a particular emphasis on the investigation of the brain using …

Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …

Dense reconstruction of synaptic connectivity requires high-resolution electron microscopy
images of entire brains and tools to efficiently trace neuronal wires across the volume. To …

Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging (MRI)
technique used for studying microstructural changes in the white matter. As with many other …

The individual course of white matter fiber tracts is an important factor for analysis of white
matter characteristics in healthy and diseased brains. Diffusion-weighted MRI tractography …

Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for
noninvasively studying the organization of white matter in the human brain. Here we …