A comprehensive, integrated, and accessible ebook, this work presents core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. The ebook covers a broad range of subjects in neuroscience, offering an introduction that utilizes computational tools to explore the causal interactions underlying neural systems. It highlights how computational neuroscience complements empirical research, enhancing the understanding of brain function and behavior.
Contributions from leaders in the field ensure that the chapters are carefully integrated, covering essential topics such as action and motor control, neuroplasticity, neuromodulation, reinforcement learning, vision, and language—the foundations of human cognition.
Suitable for advanced undergraduate or graduate-level courses, the ebook provides all necessary background beyond basic facts about neurons and synapses and general brain structure and function. Students should have a familiarity with differential equations and probability theory, along with the basics of programming in MATLAB and/or Python. Additionally, slides, exercises, and other ancillary materials are freely available online, and many models discussed in the chapters are documented in the brain operation database (BODB), which is also detailed in a chapter of the book.
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