Technical advances in neuroimaging, notably in fMRI, have allowed distributed patterns of
functional connectivity to be mapped in the human brain with increasing spatiotemporal …

Convolutional Neural Networks (CNN) are a class of machine learning models
predominately used in computer vision tasks and can achieve human-like performance …

Crossing the blood–brain barrier in primates is a major obstacle for gene delivery to the
brain. Adeno-associated viruses (AAVs) promise robust, non-invasive gene delivery from the …

Digitized neuroanatomical atlases that can be overlaid onto functional data are crucial for
localizing brain structures and analyzing functional networks identified by neuroimaging …

The lateral prefrontal cortex (LPFC) of primates plays an important role in executive control,
but how it interacts with the rest of the cortex remains unclear. To address this, we densely …

Post-mortem magnetic resonance imaging (MRI) provides the opportunity to acquire high-
resolution datasets to investigate neuroanatomy and validate the origins of image contrast …

Connecting neural activity to function is a common aim in neuroscience. How to define and
conceptualize function, however, can vary. Here I focus on grounding this goal in the specific …

Social interaction is thought to provide a selection pressure for human intelligence, yet little
is known about its neurobiological basis and evolution throughout the primate lineage …

Neuroimaging non-human primates (NHPs) is a growing, yet highly specialized field of
neuroscience. Resources that were primarily developed for human neuroimaging often …

Functional magnetic resonance imaging (fMRI), the key methodology for map** the
functions of the human brain in a noninvasive manner, is limited by low temporal and spatial …