Computational Neuroscience Meets Psychology: Modeling Cognitive Processes Through Interdisciplinary Research

Author(s)	V V S Narayana Reddy Karri
Country	India
Abstract	Computational neuroscience and psychology are two powerful domains that are rapidly converging in the quest to decode the mysteries of human cognition. Psychology traditionally relies on theories, experiments, and behavioral analysis to understand how humans think, feel, and act. Computational neuroscience, on the other hand, uses algorithms, mathematical models, and brain-inspired simulations to explain neural activity. The integration of these two fields creates a more holistic approach to studying cognitive processes. This paper explores how interdisciplinary research allows us to model attention, memory, decision-making, and perception by combining psychological theories with computational techniques. It also highlights empirical case studies, examines computational models aligned with psychological frameworks, and discusses both the opportunities and limitations of modeling higher-order cognition.
Keywords	Computational Neuroscience, Cognitive Psychology, Cognitive Modeling, Interdisciplinary Research, Brain Simulation, Machine Learning, Human Cognition
Field	Engineering
Published In	Volume 1, Issue 1, August 2025
Published On	2025-08-06

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American Journal of Computational and Interdisciplinary Research