Abstract
To understand the working of our biological brain, we primarily focus on three key areas which are computational neuroscience, cognitive science, and artificial intelligence. Computational neuroscience aims at explaining the neural patterns in the brain by using biologically conceivable computational models. Cognitive science aims to explain the behavioral mechanisms of the human brain, whereas artificial intelligence aims to identify complex cognitive tasks and map it together by using a computational model. In recent developments within this field, the integration of these three areas has provided valuable insights. In this work, an overview of cognitive computational neuroscience is provided along with the related models. A detailed investigation into the applications is outlined, followed by a discussion on the possible future directions.
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Sarishma, D., Sangwan, S., Tomar, R., Srivastava, R. (2022). A Review on Cognitive Computational Neuroscience: Overview, Models, and Applications. In: Tomar, R., Hina, M.D., Zitouni, R., Ramdane-Cherif, A. (eds) Innovative Trends in Computational Intelligence. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-78284-9_10
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