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The Conspiracy of Capital
Between the 1880s and 1920s, a broad coalition of American dissidents, which included rabble-rousing cartoonists, civil liberties lawyers, socialist detectives, union organizers, and revolutionary martyrs, forged a culture of popular radicalism that directly challenged an emergent corporate capitalism. Monopoly capitalists and their allies in govern-ment responded by expanding conspiracy laws and promoting conspiracy theories in an effort to destroy this anti-capitalist movement. The result was an escalating class conflict in which each side came to view the other as a criminal conspiracy. In this detailed cultural history, Michael Mark Cohen argues that a legal, ideological, and representational politics of conspiracy contributed to the formation of a genuinely revolutionary mass culture in the United States, starting with the 1886 Haymarket bombing. Drawing on a wealth of primary sources, The Conspiracy of Capital offers a new history of American radicalism and the alliance between the modern business corporation and national security state through a comprehensive reassessment of the role of conspiracy laws and conspiracy theories in American social movements.
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...
Grim Street
After more than thirty years the heir apparent to the street photography of the 60s presents for the first time his complex and influential body of work. Cohen's photography confronts the viewer with a startling beauty, rapidly shifting from rough and confrontational to quiet and respectful. In these images emerges a cluttered world of visceral, sexualised encounters with the human body. This is one of the more complex bodies of street photography around and Cohen's work will open your eyes as wide as they can go and keep you flipping the pages for years to come.
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...
Frame
Mark Cohen is the quintessential street photographer, using an aggressive approach in which he closes in on strangers with a camera and flash before they’re aware of being photographed. His stark images made on the streets of Wilkes-Barre and other working-class Pennsylvania towns capture moments, gestures, and emotions that, because they might be invisible to others’ sensibilities, testify to Cohen’s innately superior perception, his gift of precise and ingenious visual ordering. His work received early recognition, with a one-person show at the Museum of Modern Art in 1973 when he was just thirty, and it has garnered critical acclaim ever since. Today, Cohen’s work is held in over ...
Under Crescent and Cross
On the Jews in the Middle ages
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...
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...
Harnessing Complexity
Recent advances in the study of complexity have given scientists profound new insights into how natural innovation occurs and how its power can be exploited. Now two pioneers in the field, Robert Axelrod and Michael D. Cohen, provide leaders in business and government with a guide to complexity that will help them make effective decisions in a world of rapid change. Building on evolutionary biology, computer science, and social design, Axelrod and Cohen have constructed a unique framework for improving the way people work together. Their approach to management is based on the concept of the Complex Adaptive System, which can describe everything from rain forests to the human gene pool, and f...
Principles of the Law of Aggregate Litigation
The Principles aim to help judges, legislators, and others make aggregation decisions correctly, and to improve the management of cases in which aggregation is allowed. In addition to formal aggregation in litigated settings, such as with class actions, the work addresses a broader array of cases that are bundled together and settled or tried to test the value of related claims.
