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. et al. (2021). Machine Learning Approaches and Neuroimaging in Cognitive Functions of the Human Brain: A Review. In: Ayaz, H., Asgher, U. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1201. Springer, Cham. https://doi.org/10.1007/978-3-030-51041-1_4
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DOI: https://doi.org/10.1007/978-3-030-51041-1_4
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