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Analyzing Neural Time Series Data
A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be u...
Linear Algebra: Theory, Intuition, Code
Linear algebra is perhaps the most important branch of mathematics for computational sciences, including machine learning, AI, data science, statistics, simulations, computer graphics, multivariate analyses, matrix decompositions, signal processing, and so on.The way linear algebra is presented in traditional textbooks is different from how professionals use linear algebra in computers to solve real-world applications in machine learning, data science, statistics, and signal processing. For example, the "determinant" of a matrix is important for linear algebra theory, but should you actually use the determinant in practical applications? The answer may surprise you!If you are interested in l...
MATLAB for Brain and Cognitive Scientists
An introduction to a popular programming language for neuroscience research, taking the reader from beginning to intermediate and advanced levels of MATLAB programming. MATLAB is one of the most popular programming languages for neuroscience and psychology research. Its balance of usability, visualization, and widespread use makes it one of the most powerful tools in a scientist's toolbox. In this book, Mike Cohen teaches brain scientists how to program in MATLAB, with a focus on applications most commonly used in neuroscience and psychology. Although most MATLAB tutorials will abandon users at the beginner's level, leaving them to sink or swim, MATLAB for Brain and Cognitive Scientists take...
Practical Linear Algebra for Data Science
If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge...
Medication Errors
In this expanded 600+ page edition, Dr. Cohen brings together some 30 experts from pharmacy, medicine, nursing, and risk management to provide the most current thinking about the causes of medication errors and strategies to prevent them.
American Maelstrom
In American Maelstrom, Michael A. Cohen captures the full drama of this watershed election, establishing 1968 as the hinge between the decline of political liberalism and the ascendancy of conservative populism and the anti-government attitudes that continue to dominate the nation's political discourse, taking us to the source of the politics of division.
Think DSP
If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone, you’ll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. You’ll explore: Periodic signals and their spectrums Harmoni...
Clear and Present Safety
An eye-opening look at the history of national security fear-mongering in America and how it distracts citizens from the issues that really matter What most frightens the average American? Terrorism. North Korea. Iran. But what if none of these are probable or consequential threats to America? What if the world today is safer, freer, wealthier, healthier, and better educated than ever before? What if the real dangers to Americans are noncommunicable diseases, gun violence, drug overdoses--even hospital infections? In this compelling look at what they call the "Threat-Industrial Complex," Michael A. Cohen and Micah Zenko explain why politicians, policy analysts, academics, and journalists are...
Neurofeedback 101
What Neurofeedback Does and How it Works for:ADHDDepressionAnxietyInsomniaConcussionsAutismProcessingMigraines?other brain issues
