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

by Peter Dayan, Laurence F Abbott

Science Mathematics Neuroscience
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Theoretical Neuroscience: Computational And Mathematical Modeling of Neural Systems presents a rigorous look at how mathematics and computation can illuminate neural systems. Written by Peter Dayan and Laurence F. Abbott, this work offers a theory-focused resource for studying neuroscience through formal models and quantitative methods.

About This Book

Theoretical Neuroscience: Computational And Mathematical Modeling of Neural Systems examines the use of mathematical and computational approaches in the study of neuroscience.

Peter Dayan and Laurence F. Abbott present a theory-centered treatment of neural systems, emphasizing models and formal analysis.

The book is suited to readers seeking a rigorous introduction to computational neuroscience and the relationship between neural activity, mathematical description, and scientific explanation.

Its focus makes it a resource for students, researchers, and anyone interested in the quantitative study of the brain and nervous system.

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