Artificial Intelligence in Cerebellum Activation

Year : 2024 | Volume :01 | Issue : 01 | Page : 14-26

A. Mohamed Sikkander

Rajeev Ranjan

Sangeeta R Mishra

  1. Associate Professor and Head Department of Chemistry, Velammal Engineering College Chennai India
  2. Assistant Professor Department of Chemistry, DSPM University, Ranchi Jharkhand India
  3. Associate professor Department of Electronics & Telecommunication, Thakur College of Eng., Mumbai Maharashtra India


Neuroscience plays a significant function during the progression of artificial intelligence. It provided inspiration for the development of human-like AI. There are two ways that neuroscience encourages us to develop AI systems. Neural networks that replicate human cognition and those that match the structure of the brain are the two objectives. Neural networks, which draw inspiration from the architecture of the human brain, are the engine behind contemporary artificial intelligence systems. Creating and using algorithms that mimic the neural systems present in the human brain is the aim of contemporary AI research. The cerebellum’s short- and long-term motor memory formation, the learning of gains in ocular reflex, and the timing of eye blink conditioning are all explained by the liquid-state machine (LSM) model. It integrates the Golgi cells—granule cells—random inhibitory recurrent neural network to a basic perception. The LSM model now incorporates the cerebellar internal model, which supports cognitive function and voluntary movement control. The present state of artificial intelligence (AI) is called deep learning, and it is based on neural network models that began with simple observation. It is thought that the cerebellum is the source of modern artificial intelligence (AI), since the LSM model of the cerebellum represents the brain’s implementation of deep learning.

Keywords: Artificial Intelligence (AI), Little brain, Cortex, Brain function, Cognitive science, Motor learning

[This article belongs to International Journal of Cheminformatics(ijci)]

How to cite this article: A. Mohamed Sikkander, Rajeev Ranjan, Sangeeta R Mishra. Artificial Intelligence in Cerebellum Activation. International Journal of Cheminformatics. 2024; 01(01):14-26.
How to cite this URL: A. Mohamed Sikkander, Rajeev Ranjan, Sangeeta R Mishra. Artificial Intelligence in Cerebellum Activation. International Journal of Cheminformatics. 2024; 01(01):14-26. Available from:


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Volume 01
Issue 01
Received March 7, 2024
Accepted March 21, 2024
Published April 22, 2024