Machine Learning Approaches and Neuroimaging in Cognitive Functions of the Human Brain: A Review

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Abstract

Brain science is that sphere of knowledge on the frontline of modern reality wherefrom the accuracy of diagnoses and speed of decision making depends on human mental health. Machine Learning and Deep Learning are the contemporary methodologies and algorithms that can combine a huge amount of complex data in the coherent structure and help scientists solve brain disorders. This paper reviews different Machine Learning algorithms that investigate data patterns and trends, collected from the human brain using several neuroimaging techniques.

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Aram, S., Kornev, D., Sadeghian, R., Sardari, S. E., Kora Venu, S., Dashtestani, H., & Gandjbakhche, A. (2021). Machine Learning Approaches and Neuroimaging in Cognitive Functions of the Human Brain: A Review. In Advances in Intelligent Systems and Computing (Vol. 1201 AISC, pp. 23–29). Springer. https://doi.org/10.1007/978-3-030-51041-1_4

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