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

The cerebellum has been a popular topic for theoretical studies because its structure was
thought to be simple. Since David Marr and James Albus related its function to motor skill …

Mean-field (MF) models are computational formalism used to summarize in a few statistical
parameters the salient biophysical properties of an inter-wired neuronal network. Their …

The cerebellum operates exploiting a complex modular organization and a unified
computational algorithm adapted to different behavioral contexts. Recent observations …

The cerebellum has a well-established role in controlling motor functions, including
coordination, posture, and the learning of skilled movements. The mechanisms for how it …

Purkinje cells in the cerebellum are among the largest neurons in the brain and have been
extensively investigated in rodents. However, their morphological and physiological …

GABAergic inhibitory neurons fundamentally shape the activity and plasticity of cortical
circuits. A major subset of these neurons contains somatostatin (SOM); these cells play …

Schizophrenia (SZ) is a complex neuropsychiatric disorder associated with severe cognitive
dysfunction. Although research has mainly focused on forebrain abnormalities, emerging …

The cerebellum plays a crucial role in motor learning and memory, and recent studies have
proposed various cerebellar models to investigate these functions. This review examines the …

Mean-field (MF) models can be used to summarize in a few statistical parameters the salient
properties of an inter-wired neuronal network incorporating different types of neurons and …