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Cerebellum: Anatomical Regions

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The cerebellum, also known as the "little brain," is located in the posterior cranial fossa, inferior to the tentorium cerebelli and dorsal to the brainstem. It plays a significant role in motor control, coordination, and proprioception.
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Cerebrum: Anatomical Overview II

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Cerebrum: Anatomical Overview I

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Role of Cerebellum and Prefrontal Cortex in Memory

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The cerebellum, while traditionally associated with motor control, also plays a crucial role in memory, particularly in procedural memory, which involves learning motor tasks that become automatic through repetition. For example, studies have shown that when the cerebellum is damaged, individuals or animals lose the ability to learn conditioned motor responses, such as the conditioned eye-blink response in classical conditioning experiments with rabbits. This study demonstrates the...

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Related Experiment Video

Updated: Nov 20, 2025

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

Human-scale Brain Simulation via Supercomputer: A Case Study on the Cerebellum.

Tadashi Yamazaki¹, Jun Igarashi², Hiroshi Yamaura¹

¹Graduate School of Informatics and Engineering, The University of Electro-Communications, Japan.

|January 22, 2021

Summary

Large-scale brain simulations using supercomputers are now possible, enabling detailed models of the human brain. This research explores human-scale neural network simulations for advancing computational neuroscience.

Keywords:

Cerebellum Computer simulation Human-scale brain simulation Spiking network Supercomputer

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Modeling Human Cerebellar Development In Vitro in 2D Structure

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Published on: September 16, 2022

Area of Science:

Computational Neuroscience
Neuroscience
High-Performance Computing

Background:

Supercomputer performance has grown exponentially, enabling complex simulations.
Large-scale neural network models with billions of neurons and trillions of synapses are feasible.
Human-scale brain simulation represents a milestone for neuroscience.

Purpose of the Study:

To provide an overview of large-scale brain simulation on supercomputers.
To review existing large-scale simulation studies, with a focus on the cerebellum.
To present results from a human-scale cerebellar network model.

Main Methods:

Utilizing modern high-performance computing technology for neuroscience research.
Developing and simulating large-scale neural network models with detailed parameters.
Reviewing and analyzing representative large-scale simulation studies.

Main Results:

Demonstrated the feasibility of simulating a human-scale cerebellar network model (86 billion neurons).
Presented simulation results from the Japanese flagship supercomputer K.
Reviewed various large-scale simulation studies and cerebellum-specific research.

Conclusions:

Human-scale brain simulation is crucial for advancing computational and general neuroscience.
High-performance computing is essential for achieving these simulation milestones.
Future research should focus on further developing large-scale brain simulation techniques.