What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience.
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The book covers classical topics, including the Hodgkin-Huxley equations and Hopfield model, as well as modern developments in the field such as Generalized Linear Models and decision theory.
Learn how to simulate neurons and neuronal networks using Python, NumPy, and the Brian Simulator. This well documented series of Python Exercises accompanies several of the book chapters.
A free series of online video lectures based on the book, hosted by Wulfram Gerstner. These videos are perfect for self-taught study or for extended explanations to help you with the book contents.
For Lecturers interested in teaching a course based on the book, we offer free teaching material intended for a course of 15 weeks, that covers the main topics of the textbook.