Books published by MIT Press Ltd

How "drowned town” literature, road movies, energy landscape photography, and "death train” narratives represent the brutality of industrial infrastructures.In this book, Michael Truscello looks at the industrial infrastructure not as an invisible system of connectivity and mobility that keeps capitalism humming in the background but as a manufactured miasma of despair, toxicity, and death. Truscello terms this "infrastructural brutalism”—a formulation that not only alludes to the historical nexus of infrastructure and the concrete aesthetic of Brutalist architecture but also describes the ecological, political, and psychological brutality of industrial infrastructures. Truscello explores the necropolitics of infrastructure—how infrastructure determines who may live and who must die—through the lens of artistic media. He examines the white settler nostalgia of "drowned town” fiction written after the Tennessee Valley Authority flooded rural areas for hydroelectric projects; argues that the road movie represents a struggle with liberal governmentality; considers the ruins of oil capitalism, as seen in photographic landscapes of postindustrial waste; and offers an account of "death train narratives” ranging from the history of the Holocaust to postapocalyptic fiction. Finally, he calls for "brisantic politics,” a culture of unmaking that is capable of slowing the advance of capitalist suicide. "Brisance” refers to the shattering effect of an explosive, but Truscello uses the term to signal a variety of practices for defeating infrastructural power. Brisantic politics, he warns, would require a reorientation of radical politics toward infrastructure, sabotage, and cascading destruction in an interconnected world.

An up-to-date overview of the field of connectomics, introducing concepts and mechanisms underlying brain network change at different stages.The human brain undergoes massive changes during its development, from early childhood and the teenage years to adulthood and old age. Across a wide range of species, from C. elegans and fruit flies to mice, monkeys, and humans, information about brain connectivity (connectomes) at different stages is now becoming available. New approaches in network neuroscience can be used to analyze the topological, spatial, and dynamical organization of such connectomes. In Changing Connectomes, Marcus Kaiser provides an up-to-date overview of the field of connectomics and introduces concepts and mechanisms underlying brain network changes during evolution and development. Drawing on a range of results from experimental, clinical, and computational studies, Kaiser describes changes during healthy brain maturation and during brain network disorders (including such neurodevelopmental conditions as schizophrenia and depression), brain injury, and neurodegenerative disorders including dementia. He argues that brain stimulation is an area where understanding connectome development could help in assessing long-term effects of interventions. Changing Connectomes is a suitable starting point for researchers who are new to the field of connectomics, and also for researchers who are interested in the link between brain network organization and brain and cognitive development in health and disease. Matlab/Octave code examples available at the MIT Press website will allow computational neuroscience researchers to understand and extend the shown mechanisms of connectome development.

A comprehensive and integrated introduction to the phenomena and theories of perceptual learning, focusing on the visual domain.Practice or training in perceptual tasks improves the quality of perceptual performance, often by a substantial amount. This improvement is called perceptual learning (in contrast to learning in the cognitive or motor domains), and it has become an active area of research of both theoretical and practical significance. This book offers a comprehensive introduction to the phenomena and theories of perceptual learning, focusing on the visual domain. Perceptual Learning explores the tradeoff between the competing goals of system stability and system adaptability, signal and noise, retuning and reweighting, and top-down versus bottom-down processes. It examines and evaluates existing research and potential future directions, including evidence from behavior, physiology, and brain imaging, and existing perceptual learning applications, with a focus on important theories and computational models. It also compares visual learning to learning in other perceptual domains, and considers the application of visual training methods in the development of perceptual expertise and education as well as in remediation for limiting visual conditions. It provides an integrated treatment of the subject for students and researchers and for practitioners who want to incorporate perceptual learning into their practice.Practice or training in perceptual tasks improves the quality of perceptual performance, often by a substantial amount. This improvement is called perceptual learning, in contrast with learning in the cognitive or motor domains. Perceptual learning has been a very active area of research of both theoretical and practical interest. Research on perceptual learning is of theoretical significance in illuminating plasticity in adult perceptual systems, and in understanding the limitations of human information processing and how to improve them. It is of practical significance as a potential method for the development of perceptual expertise in the normal population, for its potential in advancing development and supporting healthy aging, and for noninvasive amelioration of deficits in challenged populations by training. Perceptual learning has become an increasingly important topic in biomedical research. Practitioners in this area include science disciplines such as psychology, neuroscience, computer sciences, and optometry, and developers in applied areas of learning game design, cognitive development and aging, and military and biomedical applications. Commercial development of training products, protocols, and games is a multi-billion dollar industry. Perceptual learning provides the basis for many of the developments in these areas.This book is written for anyone who wants to understand the phenomena and theories of perceptual learning or to apply the technology of perceptual learning to the development of training methods and products. Our aim is to provide an introduction to those researchers and students just entering this exciting field, to provide a comprehensive and integrated treatment of the phenomena and the theories of perceptual learning for active perceptual learning researchers, and to describe and develop the basic techniques and principles for readers who want to successfully incorporate perceptual learning into applied developments. The book considers the special challenges of perceptual learning that balance the competing goals of system stability and system adaptability. It provides a systematic treatment of the major phenomena and models in perceptual learning, the determinants of successful learning and of specificity and transfer. The book provides a cohesive consideration of the broad range of perceptual learning through the theoretical framework of incremental learning of reweighting evidence that supports successful task performance. It provides a detailed analysis of the mechanisms by which perceptual learning improves perceptual limitations, the relationship of perceptual learning and the critical period of development, and the semi-supervised modes of learning that dominate perceptual learning. It considers limitations and constraints on learning multiple tasks and stimuli simultaneously, the implications of training at high or low levels of performance accuracy, and the importance of feedback to perceptual learning. The basis of perceptual learning in physiology is discussed along with the relationship of visual perceptual learning to learning in other sensory domains. The book considers the applications of perceptual learning in the development of expertise, in education and gaming, in training during development and aging, and applications to remediation of mental health and vision disorders. Finally, it applies the phenomena and models of perceptual learning to considerations of optimizing training.

The creative collaborations of engineers, artists, scientists, and curators over the past fifty years.Artwork as opposed to experiment? Engineer versus artist? We often see two different cultural realms separated by impervious walls. But some fifty years ago, the borders between technology and art began to be breached. In this book, W. Patrick McCray shows how in this era, artists eagerly collaborated with engineers and scientists to explore new technologies and create visually and sonically compelling multimedia works. This art emerged from corporate laboratories, artists' studios, publishing houses, art galleries, and university campuses. Many of the biggest stars of the art world—Robert Rauschenberg, Yvonne Rainer, Andy Warhol, Carolee Schneemann, and John Cage—participated, but the technologists who contributed essential expertise and aesthetic input often went unrecognized.Coming from diverse personal backgrounds, this roster of engineers and scientists includes Frank J. Malina, the American rocket pioneer-turned-kinetic artist who launched the art-science journal Leonardo, and Swedish-born engineer Billy Klüver, who established the group Experiments in Art and Technology (E.A.T). At schools ranging from MIT to Caltech, engineers engaged with such figures as artist Gyorgy Kepes and celebrity curator Maurice Tuchman. Today, we are in the midst of a new surge of corporate and academic promotion of projects and programs combining art, technology, and science. Making Art Work reveals how artists and technologists have continually constructed new communities in which they exercise imagination, display creative expertise, and pursue commercial innovation.

The recreation of a landmark in 1930s documentary photography.The 1939 book Changing New York by Berenice Abbott, with text by Elizabeth McCausland, is a landmark of American documentary photography and the career-defining publication by one of modernism's most prominent photographers. Yet no one has ever seen the book that Abbott and McCausland actually planned and wrote. In this, art historian Sarah M. Miller recreates Abbott and McCausland's original manuscript for Changing New York is by sequencing Abbott's one hundred photographs with McCausland's caption texts. This reconstruction is accompanied by a selection of archival documents that illuminate how the project was developed, and how the original publisher drastically altered it.Miller analyzes the manuscript and its revisions to unearth Abbott and McCausland's critical engagement with New York City's built environment and their unique theory of documentary photography. The battle over Changing New York, she argues, stemmed from disputes over how Abbott's photographs-and photography more broadly-should shape urban experience on the eve of the futuristic 1939 World's Fair. Ultimately it became a contest over the definition of documentary itself. Gary Van Zante and Julia Van Haaften contribute an essay on Abbott's archive and the partnership with McCausland that shaped their creative collaboration.Copublished with Ryerson Image Centre, Toronto

A physician-anthropologist explores how public health practices--from epidemiological modeling to outbreak containment--help perpetuate global inequities.In Epidemic Illusions, Eugene Richardson, a physician and an anthropologist, contends that public health practices--from epidemiological modeling and outbreak containment to Big Data and causal inference--play an essential role in perpetuating a range of global inequities. Drawing on postcolonial theory, medical anthropology, and critical science studies, Richardson demonstrates the ways in which the flagship discipline of epidemiology has been shaped by the colonial, racist, and patriarchal system that had its inception in 1492.

Exploring feminist social media tactics that use humor as a form of resistance to misogyny, the affective dynamics of shame, shaming, and shamelessness.Online sexism, hate, and harassment aim to silence women through shaming and fear. In Who's Laughing Now? Jenny Sundén and Susanna Paasonen examine a somewhat counterintuitive form of resistance: humor. Sundén and Paasonen argue that feminist social media tactics that use humor, laughter, and a sense of the absurd to answer name-calling, offensive language, and unsolicited dick pics can rewire the affective circuits of sexual shame and acts of shaming.Using laughter as both a theme and a methodological tool, Sundén and Paasonen explore examples of the subversive deployment of humor that range from @assholesonline to the Tumblr "Congrats, you have an all-male panel!” They consider the distribution and redistribution of shame, discuss Hannah Gadsby's Nanette, and describe tactical retweeting and commenting (as practiced by Stormy Daniels, among others). They explore the appropriation of terms meant to hurt and insult—for example, self-proclaimed Finnish "tolerance whores”—and what effect this rerouting of labels may have. They are interested not in lulz (amusement at another's expense)—not in what laughter pins down, limits, or suppresses but rather in what grows with and in it. The contagiousness of laughter drives the emergence of networked forms of feminism, bringing people together (although it may also create rifts). Sundén and Paasonen break new ground in exploring the intersection of networked feminism, humor, and affect, arguing for the political necessity of inappropriate laughter.

The first introductory textbook in the emerging, fast-developing field of computational psychiatry.Computational psychiatry applies computational modeling and theoretical approaches to psychiatric questions, focusing on building mathematical models of neural or cognitive phenomena relevant to psychiatric diseases. It is a young and rapidly growing field, drawing on concepts from psychiatry, psychology, computer science, neuroscience, electrical and chemical engineering, mathematics, and physics. This book, accessible to nonspecialists, offers the first introductory textbook in computational psychiatry. After more than 100 years of psychological theories, psychopharmacological research, and clinical experience, the challenges of understanding and treating mental illness remain. Computational psychiatry seeks to explain how psychiatric dysfunction may emerge mechanistically, and how it may be classified, predicted, and clinically addressed. It has the potential to bridge advances in neuroscience and clinical applications, connecting low-level biological features with high-level cognitive features. After a survey of computational psychiatry methods, the book covers biologically detailed models of working memory and decision making and computational models of cognitive control. It then describes the application of computational approaches to schizophrenia, depression, anxiety, addiction, and Tourette's syndrome. Finally, the book briefly discusses additional disorders and offers guidelines for future research. Chapters also offer discussions of related issues, chapter summaries, and suggestions for further study. The book can be used as a textbook by students and as a reference for scientists and clinicians interested in applying computational models to diagnosis and treatment strategies.