Computational Neuroscience: Modeling and Applications
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Computational neuroscience is the branch of neuroscience that uses mathematical models, theoretical analysis and abstractions, to understand the development, structure and information-processing of the nervous system. It also attempts to understand the principles that govern the physiology and cognitive abilities of the nervous system. Computational neuroscience models help in the understanding of biological phenomena at different spatial-temporal scales. It covers all aspects of membrane currents, proteins, network oscillations, learning, memory, etc. Research in computational neuroscience de...
Computational neuroscience is the branch of neuroscience that uses mathematical models, theoretical analysis and abstractions, to understand the development, structure and information-processing of the nervous system. It also attempts to understand the principles that govern the physiology and cognitive abilities of the nervous system. Computational neuroscience models help in the understanding of biological phenomena at different spatial-temporal scales. It covers all aspects of membrane currents, proteins, network oscillations, learning, memory, etc. Research in computational neuroscience delves into the concepts of consciousness and the processes of cognition, sensory processing, memory and axonal patterning and development. This book discusses the fundamentals as well as modern approaches of computational neuroscience. It covers all the important aspects of modeling and their applications. Different approaches, evaluations, methodologies and advanced studies have been included in this book. With state-of-the-art inputs by acclaimed experts of this field, this book targets students and researchers alike.
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