Our awareness of time and temporal properties is a constant feature of conscious life. Subjective temporality structures and guides every aspect of behavior and cognition, distinguishing memory, perception, and anticipation. This milestone volume brings together research on temporality from leading scholars in philosophy, psychology, and neuroscience, defining a new field of interdisciplinary research.
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.
This introduction to neuroscience is unique in its emphasis on how we know what we know about the structure and function of the nervous system. What are the observations and experiments that have taught us about the brain and spinal cord?
Although there is scientific consensus that genetic factors play a substantial role in an individual's vulnerability to drug or alcohol addiction, specific genetic variables linked to risk or resilience remain elusive. Understanding how genetic factors contribute to addiction may require focusing on intermediary mechanisms, or intermediate phenotypes, that connect genetic variation and risk for addiction. This book offers a comprehensive review of this mechanistic-centered approach and the most promising intermediate phenotypes identified in empirical research.
Despite major advances in methodology and thousands of published studies every year, treatment outcomes in schizophrenia have not improved over the last fifty years. Moreover, we still lack strategies for prevention and we do not yet understand how the interaction of genetic, developmental, and environmental factors contribute to the disorder. In this book, leading researchers consider conceptual and technical obstacles to progress in understanding schizophrenia and suggest novel strategies for advancing research and treatment.
Emil du Bois-Reymond is the most important forgotten intellectual of the nineteenth century. In his own time (1818–1896) du Bois-Reymond grew famous in his native Germany and beyond for his groundbreaking research in neuroscience and his provocative addresses on politics and culture. This biography by Gabriel Finkelstein draws on personal papers, published writings, and contemporary responses to tell the story of a major scientific figure.
Visual science is the model system for neuroscience, its findings relevant to all other areas. This essential reference to contemporary visual neuroscience covers the extraordinary range of the field today, from molecules and cell assemblies to systems and therapies. It provides a state-of-the art companion to the earlier book The Visual Neurosciences (MIT Press, 2003). This volume covers the dramatic advances made in the last decade, offering new topics, new authors, and new chapters.
This volume offers a comprehensive overview of the latest neuroscientific approaches to the scientific study of creativity. In chapters that progress logically from neurobiological fundamentals to systems neuroscience and neuroimaging, leading scholars describe the latest theoretical, genetic, structural, clinical, functional, and applied research on the neural bases of creativity. The treatment is both broad and in depth, offering a range of neuroscientific perspectives with detailed coverage by experts in each area.
Vision is one of the most active areas in biomedical research, and visual psychophysical techniques are a foundational methodology for this research enterprise. Visual psychophysics, which studies the relationship between the physical world and human behavior, is a classical field of study that has widespread applications in modern vision science. Bridging the gap between theory and practice, this textbook provides a comprehensive treatment of visual psychophysics, teaching not only basic techniques but also sophisticated data analysis methodologies and theoretical approaches.
This book proposes a transdisciplinary approach to investigating human motor control that synthesizes musculoskeletal biomechanics and neural control. The authors argue that this integrated approach—which uses the framework of robotics to understand sensorimotor control problems—offers a more complete and accurate description than either a purely neural computational approach or a purely biomechanical one.