Theoretical Neuroscience: Computational And Mathematical Modeling of Neural Systems (Computational Neuroscience)

This groundbreaking book, "Theoretical Neuroscience: Mathematical and Computational Methods for Studying Neural Systems," is a comprehensive introduction to the field of theoretical neuroscience.

With its focus on quantitative methods and applications in various areas, this text is an essential resource for students and researchers alike.

The authors, Peter Dayan and L.F.

Abbott, have crafted a work of tremendous breadth and excitement, covering topics such as sensory stimuli, neural responses, modeling neurons and circuits, plasticity in development and learning, and more. The book is divided into three parts, each addressing a critical aspect of theoretical neuroscience.

Part I explores the relationship between sensory stimuli and neural responses, while Part II delves into the modeling of neurons and neural circuits based on cellular and synaptic biophysics.

Finally, Part III examines the role of plasticity in development and learning. With an appendix covering mathematical methods used and exercises available on the book's website, this text provides a comprehensive and accessible introduction to the field of theoretical neuroscience.

Whether you are a student looking to gain a deeper understanding of neural systems or a researcher seeking a definitive guide, "Theoretical Neuroscience" is the perfect choice.

Don't miss out on this opportunity to revolutionize your understanding of the brain and nervous system!