Recent Vogues of Artificial Intelligence in Neuroscience: A Systematic Review

Abstract

Abstract The relationship between Neuroscience and Artificial Intelligence are quite intertwined and strong sine a long decades. However, in recent times, the collaboration between these two domains are building a vital role in modern medical science. The study of AI aims at making the behavior of machine more intelligence and versatile, hence it is an interesting topic to be analyzed about better understanding of biological brain by emphasizing the historical and current advances of AI. We have initiated this review by highlighting the brief taxonomy of AI. Later on the key role of AI in the field of computational neuroscience, cognitive neuroscience, clinical neuroscience, Reinforcement learning, cognitive mapping and spatial navigation have been shared. The paper is proceeding with recent challenges faced by AI during its implication on neurobiological data and building neural model. The challenges have proposed some feasible solutions to sharpen the context of computation, learning, cognition and perception by strengthening neural network model. The progressive approach is continued towards the future of AI by conceptualizing Explainable AI, Deep Brain Stimulation and generating new codes for both Machine Learning and Deep Learning region. The scope of AI is expanding in multiple domains of medical science, engineering and technology; hence the potentiality of AI needs to be updated and polished by time.