Addressing the multiscale organization of the brain, which is fundamental to the dynamic
repertoire of the organ, remains challenging. In principle, it should be possible to model …

Data-driven computational models of neurons, synapses, microcircuits, and mesocircuits
have become essential tools in modern brain research. The goal of these multiscale models …

Structural rules underlying functional properties of cortical circuits are poorly understood. To
explore these rules systematically, we integrated information from extensive literature …

The neurophysiology of cells and tissues are monitored electrophysiologically and optically
in diverse experiments and species, ranging from flies to humans. Understanding the brain …

Elucidating the intricate neural mechanisms underlying brain functions requires integrative
brain dynamics modeling. To facilitate this process, it is crucial to develop a general-purpose …

Thalamoreticular circuitry plays a key role in arousal, attention, cognition, and sleep
spindles, and is linked to several brain disorders. A detailed computational model of mouse …

Sustainable research on computational models of neuronal networks requires published
models to be understandable, reproducible, and extendable. Missing details or ambiguities …

Experimental studies in neuroscience are producing data at a rapidly increasing rate,
providing exciting opportunities and formidable challenges to existing theoretical and …

The cerebellar network is renowned for its regular architecture that has inspired foundational
computational theories. However, the relationship between circuit structure, function and …

We developed a detailed model of macaque auditory thalamocortical circuits, including
primary auditory cortex (A1), medial geniculate body (MGB), and thalamic reticular nucleus …