Download the fantastic book titled An Introductory Course in Computational Neuroscience written by Paul Miller, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "An Introductory Course in Computational Neuroscience", which was released on 02 October 2018. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Science genre.
Summary of An Introductory Course in Computational Neuroscience by Paul Miller PDF
A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior. This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits. It is built around computer tutorials that guide students in producing models of neural behavior, with the associated Matlab code freely available online. From these models students learn how individual neurons function and how, when connected, neurons cooperate in a circuit. The book demonstrates through simulated models how oscillations, multistability, post-stimulus rebounds, and chaos can arise within either single neurons or circuits, and it explores their roles in the brain. The book first presents essential background in neuroscience, physics, mathematics, and Matlab, with explanations illustrated by many example problems. Subsequent chapters cover the neuron and spike production; single spike trains and the underlying cognitive processes; conductance-based models; the simulation of synaptic connections; firing-rate models of large-scale circuit operation; dynamical systems and their components; synaptic plasticity; and techniques for analysis of neuron population datasets, including principal components analysis, hidden Markov modeling, and Bayesian decoding. Accessible to undergraduates in life sciences with limited background in mathematics and computer coding, the book can be used in a “flipped” or “inverted” teaching approach, with class time devoted to hands-on work on the computer tutorials. It can also be a resource for graduate students in the life sciences who wish to gain computing skills and a deeper knowledge of neural function and neural circuits.
Detail About An Introductory Course in Computational Neuroscience PDF
- Author : Paul Miller
- Publisher : MIT Press
- Genre : Science
- Total Pages : 405 pages
- ISBN : 0262038250
- Release Date : 02 October 2018
- PDF File Size : 45,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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