4.6 Article

Artificial intelligence and neuroscience: An update on fascinating relationships

Journal

PROCESS BIOCHEMISTRY
Volume 125, Issue -, Pages 113-120

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.procbio.2022.12.011

Keywords

Neurology; Artificial Intelligence; Neurotransmitter; Machine learning

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Innovative technologies such as AI, deep learning, machine learning, and optogenetics have played a key role in accelerating discoveries in neuroscience, with AI being particularly promising. The limitations of human processing power can be overcome by leveraging AI's capabilities, allowing for advancements in neuroscience and the identification of neurological problems. This review explores the valuable relationship between AI and neuroscience and its applications in expanding our understanding of the human brain.
Innovative technologies such as Artificial Intelligence (AI), deep learning, Machine learning and optogenetics have been considered key components in the contribution to the acceleration of numerous discoveries in life sciences, particularly in the field of neuroscience. With the inherent progress of AI in particular, it is no surprise that 'neuroscience', a complex study of the nervous system could benefit from the endless capabilities that AI has to offer with its magnification of the human mind. Although our minds are capable of extraordinary endeavours, there is a limit as to how much information we may mentally be able to process. Alongside the advancements of AI systems, we may be able to drive neuroscience forward and unlock the secrets of the human brain with one of its applications being the ability to identify neurological problems and detect neurotransmitters. This review therefore discusses the fruitful relationship between AI and neuroscience and its applications to furthering our knowledge in this field.

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