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Fundamentals of Computational Neuroscience 3rd Edition by Thomas P. Trappenberg, ISBN-13: 978-0192869364
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The "Fundamentals of Computational Neuroscience" 3rd Edition by Thomas P. Trappenberg provides a comprehensive introduction to the field of computational neuroscience, blending theoretical concepts with practical applications. The book covers fundamental models of neural activity, synaptic dynamics, and network organization, while also addressing important topics such as learning, memory, and perception. Through mathematical frameworks and simulations, it aims to equip readers with the tools necessary to analyze and understand neural systems, making it an essential resource for students and researchers in neuroscience, psychology, and related fields.
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Title: Fundamentals of Computational Neuroscience
Author: Thomas P. Trappenberg
Edition: 3rd Edition
ISBN-13: 978-0192869364
Publisher: Oxford University Press
Publication Year: 2022
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"Fundamentals of Computational Neuroscience" provides a comprehensive exploration of the principles underlying the computational modeling of neural systems. The third edition enhances its predecessor’s foundation with updated theories and algorithms, making it a valuable resource for both students and researchers. By integrating theory with practical applications, the book facilitates a deeper understanding of the brain's computational processes, bridging gaps between neuroscience and artificial intelligence. Its clear explanations, accompanied by illustrative examples and exercises, foster critical thinking and encourage readers to engage with the complexities of neural computation. Overall, Trappenberg's work remains an essential text for anyone seeking to delve into the intricacies of computational neuroscience.
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PDF – ePub: Fundamentals of Computational Neuroscience 3rd Edition by Thomas P. Trappenberg, ISBN-13
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