The cerebellum is a central brain structure deeply integrated into major loops with the
cerebral cortex, brainstem, and spinal cord. The cerebellum shows a complex regional …

Performance of supercomputers has been steadily and exponentially increasing for the past
20 years, and is expected to increase further. This unprecedented computational power …

Reconstructing neuronal microcircuits through computational models is fundamental to
simulate local neuronal dynamics. Here a scaffold model of the cerebellum has been …

It is an important issue that how to regulate the existing control models of musculoskeletal
robots to improve the ability of motion learning and generalization. In this article, based on …

Computer simulation of the human brain at an individual neuron resolution is an ultimate
goal of computational neuroscience. The Japanese flagship supercomputer, K, provides …

The retrosplenial cortex (RSC) is essential for memory and navigation, but the neural codes
underlying these functions remain largely unknown. Here, we show that the most prominent …

Long-term synaptic plasticity is thought to provide the substrate for adaptive computation in
brain circuits but very little is known about its spatiotemporal organization. Here, we …

The Golgi cells are the main inhibitory interneurons of the cerebellar granular layer.
Although recent works have highlighted the complexity of their dendritic organization and …

Cerebellar granule cells (GCs) make up the majority of all neurons in the vertebrate brain,
but heterogeneities among GCs and potential functional consequences are poorly …

Autism spectrum disorders (ASDs) are pervasive neurodevelopmental conditions that often
involve mutations affecting synaptic mechanisms. Recently, the involvement of cerebellum in …