The core strength of the book lies in its exceptional breakdown of spectral analysis. It demystifies how the brain utilizes different rhythmic oscillations (e.g., delta, theta, alpha, beta, gamma) to communicate.
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Neural time series data, which refers to the recordings of neural activity over time, has become increasingly important in understanding brain function and behavior. With the advancement of neurophysiological techniques, such as electroencephalography (EEG), magnetoencephalography (MEG), and local field potentials (LFPs), researchers can now collect large amounts of neural time series data. However, analyzing this type of data poses significant challenges due to its complex and non-linear nature. In this essay, we will discuss the theory and practice of analyzing neural time series data, and provide an overview of the key techniques and tools used in this field.
The book is available for purchase as a and EPUB from the MIT Press website and various e‑book retailers. On the MIT Press site, you can buy the electronic edition (ISBN 9780262319553) directly. Other vendors offering the e‑book include Amazon Kindle, Google Play Books, and the Google Books store . Prices typically range from £73.50 (approximately $90) for the PDF to slightly less for the EPUB format.