How Long to Read An Introductory Course in Computational Neuroscience

How Long Does it Take to Read An Introductory Course in Computational Neuroscience?

It takes the average reader 6 hours and 53 minutes to read An Introductory Course in Computational Neuroscience by Paul Miller

Assuming a reading speed of 250 words per minute. Learn more

Description

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.

How long is An Introductory Course in Computational Neuroscience?

An Introductory Course in Computational Neuroscience by Paul Miller is 405 pages long, and a total of 103,275 words.

This makes it 137% the length of the average book. It also has 126% more words than the average book.

How Long Does it Take to Read An Introductory Course in Computational Neuroscience Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 24 minutes to read An Introductory Course in Computational Neuroscience aloud.

What Reading Level is An Introductory Course in Computational Neuroscience?

An Introductory Course in Computational Neuroscience is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy An Introductory Course in Computational Neuroscience?

An Introductory Course in Computational Neuroscience by Paul Miller is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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