The brain and the nervous system are our most cultural organs. Our nervous system is especially immature at birth, our brain disproportionately small in relation to its adult size and open to cultural sculpting at multiple levels. Recognizing this, the new field of neuroanthropology places the brain at the center of discussions about human nature and culture. Anthropology offers brain science more robust accounts of enculturation to explain observable difference in brain function; neuroscience offers anthropology evidence of neuroplasticity's role in social and cultural dynamics. This book provides a foundational text for neuroanthropology, offering basic concepts and case studies at the intersection of brain and culture.
After an overview of the field and background information on recent research in biology, a series of case studies demonstrate neuroanthropology in practice. Contributors first focus on capabilities and skills—including memory in medical practice, skill acquisition in martial arts, and the role of humor in coping with breast cancer treatment and recovery—then report on problems and pathologies that range from post-traumatic stress disorder among veterans to smoking as a part of college social life.
In Feeling Beauty, G. Gabrielle Starr argues that understanding the neural underpinnings of aesthetic experience can reshape our conceptions of aesthetics and the arts. Drawing on the tools of both cognitive neuroscience and traditional humanist inquiry, Starr shows that neuroaesthetics offers a new model for understanding the dynamic and changing features of aesthetic life, the relationships among the arts, and how individual differences in aesthetic judgment shape the varieties of aesthetic experience.
Starr, a scholar of the humanities and a researcher in the neuroscience of aesthetics, proposes that aesthetic experience relies on a distributed neural architecture—a set of brain areas involved in emotion, perception, imagery, memory, and language. More important, it emerges from networked interactions, intricately connected and coordinated brain systems that together form a flexible architecture enabling us to develop new arts and to see the world around us differently. Focusing on the "sister arts" of poetry, painting, and music, Starr builds and tests a neural model of aesthetic experience valid across all the arts. Asking why works that address different senses using different means seem to produce the same set of feelings, she examines particular works of art in a range of media, including a poem by Keats, a painting by van Gogh, a sculpture by Bernini, and Beethoven's Diabelli Variations. Starr's innovative, interdisciplinary analysis is true to the complexities of both the physical instantiation of aesthetics and the realities of artistic representation.
Each edition of this classic reference has proved to be a benchmark in the developing field of cognitive neuroscience. The fifth edition of The Cognitive Neurosciences continues to chart new directions in the study of the biological underpinnings of complex cognitio—the relationship between the structural and physiological mechanisms of the nervous system and the psychological reality of the mind. It offers entirely new material, reflecting recent advances in the field.
Many of the developments in cognitive neuroscience have been shaped by the introduction of novel tools and methodologies, and a new section is devoted to methods that promise to guide the field into the future—from sophisticated models of causality in brain function to the application of network theory to massive data sets. Another new section treats neuroscience and society, considering some of the moral and political quandaries posed by current neuroscientific methods.
Other sections describe, among other things, new research that draws on developmental imaging to study the changing structure and function of the brain over the lifespan; progress in establishing increasingly precise models of memory; research that confirms the study of emotion and social cognition as a core area in cognitive neuroscience; and new findings that cast doubt on the so-called neural correlates of consciousness.
Category theory was invented in the 1940s to unify and synthesize different areas in mathematics, and it has proven remarkably successful in enabling powerful communication between disparate fields and subfields within mathematics. This book shows that category theory can be useful outside of mathematics as a rigorous, flexible, and coherent modeling language throughout the sciences. Information is inherently dynamic; the same ideas can be organized and reorganized in countless ways, and the ability to translate between such organizational structures is becoming increasingly important in the sciences. Category theory offers a unifying framework for information modeling that can facilitate the translation of knowledge between disciplines.
Written in an engaging and straightforward style, and assuming little background in mathematics, the book is rigorous but accessible to non-mathematicians. Using databases as an entry to category theory, it begins with sets and functions, then introduces the reader to notions that are fundamental in mathematics: monoids, groups, orders, and graphs—categories in disguise. After explaining the “big three” concepts of category theory—categories, functors, and natural transformations—the book covers other topics, including limits, colimits, functor categories, sheaves, monads, and operads. The book explains category theory by examples and exercises rather than focusing on theorems and proofs. It includes more than 300 exercises, with solutions.
Category Theory for the Sciences is intended to create a bridge between the vast array of mathematical concepts used by mathematicians and the models and frameworks of such scientific disciplines as computation, neuroscience, and physics.
Downloadable instructor resources available for this title: 193 exercises, separate from those included in the book, with solutions
Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional datasets. This collection describes key approaches in sparse modeling, focusing on its applications in fields including neuroscience, computational biology, and computer vision.
Sparse modeling methods can improve the interpretability of predictive models and aid efficient recovery of high-dimensional unobserved signals from a limited number of measurements. Yet despite significant advances in the field, a number of open issues remain when sparse modeling meets real-life applications. The book discusses a range of practical applications and state-of-the-art approaches for tackling the challenges presented by these applications. Topics considered include the choice of method in genomics applications; analysis of protein mass-spectrometry data; the stability of sparse models in brain imaging applications; sequential testing approaches; algorithmic aspects of sparse recovery; and learning sparse latent models.
Contributors A. Vania Apkarian, Marwan Baliki, Melissa K. Carroll, Guillermo A. Cecchi, Volkan Cevher, Xi Chen, Nathan W. Churchill, Rémi Emonet, Rahul Garg, Zoubin Ghahramani, Lars Kai Hansen, Matthias Hein, Katherine Heller, Sina Jafarpour, Seyoung Kim, Mladen Kolar, Anastasios Kyrillidis, Aurelie Lozano, Matthew L. Malloy, Pablo Meyer, Shakir Mohamed, Alexandru Niculescu-Mizil, Robert D. Nowak, Jean-Marc Odobez, Peter M. Rasmussen, Irina Rish, Saharon Rosset, Martin Slawski, Stephen C. Strother, Jagannadan Varadarajan, Eric P. Xing
In Zen-Brain Horizons, James Austin draws on his decades of experience as a neurologist and Zen practitioner to clarify the benefits of meditative training. Austin integrates classical Buddhist literature with modern brain research, exploring the horizons of a living, neural Zen.
When viewed in the light of today, the timeless wisdom of some Zen masters seems almost to have anticipated recent research in the neurosciences. The keen attentiveness and awareness that we cultivate during meditative practices becomes the leading edge of our subsequent mental processing. Austin explains how our covert, involuntary functions can make crucial contributions to the subtle ways we learn, intuit, and engage in creative activities.
Austin begins by looking back at ancient Buddhist narratives. He then weaves together the major themes of self, attention, emotion, language, and insight. He goes on to examine Zen and psychology as cultural developments, including recent information about how a clear, calm awareness can change the meditating brain. He considers the pathways through which intuitions develop on their way to becoming realized, exploring the phenomena of the spontaneous color imagery that arises during meditation.
Looking out even further into the future, Austin discusses the universal themes of creativity, happiness, openness, and selflessness. Along the way, he bows in homage to William James, explores “Buddhist Botany” and “Avian Zen,” demonstrates why living Zen means much more than sitting quietly indoors on a cushion, and provides simplified advice that helps guide readers to the most important points.
Our drive to consume—our desire for food, clothing, smart phones, and megahomes—evolved from our ancestors’ drive to survive. But the psychological and neural processes that originally evolved to guide mammals toward resources that are necessary but scarce may mislead us in modern conditions of material abundance. Such phenomena as obesity, financial bubbles, hoarding, and shopping sprees suggest a mismatch between our instinct to consume and our current environment. This volume brings together research from psychology, neuroscience, economics, marketing, animal behavior, and evolution to explore the causes and consequences of consumption.
Contributors consider such topics as how animal food-storing informs human consumption; the downside of evolved “fast and frugal” rules for eating; how future discounting and the draw toward immediate rewards influence food consumption, addiction, and our ability to save; overconsumption as social display; and the policy implications of consumption science.
Taken together, the chapters make the case for an emerging interdisciplinary science of consumption that reflects commonalities across species, domains, and fields of inquiry. By carefully comparing mechanisms that underlie seemingly disparate outcomes, we can achieve a unified understanding of consumption that could benefit both science and society.
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.
The book’s thirty chapters include selections from classic texts by William James and Edmund Husserl and new essays setting them in historical context; contemporary philosophical accounts of lived time; and current empirical studies of psychological time. These last chapters, the larger part of the book, cover such topics as the basic psychophysics of psychological time, its neural foundations, its interaction with the body, and its distortion in illness and altered states of consciousness.
Contributors Melissa J. Allman, Holly Andersen, Valtteri Arstila, Yan Bao, Dean V. Buonomano, Niko A. Busch, Barry Dainton, Sylvie Droit-Volet, Christine M. Falter, Thomas Fraps, Shaun Gallagher, Alex O. Holcombe, Edmund Husserl, William James, Piotr Jaśkowski, Jeremie Jozefowiez, Ryota Kanai, Allison N. Kurti, Dan Lloyd, Armando Machado, Matthew S. Matell, Warren H. Meck, James Mensch, Bruno Mölder, Catharine Montgomery, Konstantinos Moutoussis, Peter Naish, Valdas Noreika, Sukhvinder S. Obhi, Ruth Ogden, Alan o’Donoghue, Georgios Papadelis, Ian B. Phillips, Ernst Pöppel, John E. R. Staddon, Dale N. Swanton, Rufin VanRullen, Argiro Vatakis, Till M. Wagner, John Wearden, Marc Wittmann, Agnieszka Wykowska, Kielan Yarrow, Bin Yin, Dan Zahavi
This introduction to the structure of the central nervous system demonstrates that the best way to learn how the brain is put together is to understand something about why. It explains why the brain is put together as it is by describing basic functions and key aspects of its evolution and development. This approach makes the structure of the brain and spinal cord more comprehensible as well as more interesting and memorable. The book offers a detailed outline of the neuroanatomy of vertebrates, especially mammals, that equips students for further explorations of the field.
Gaining familiarity with neuroanatomy requires multiple exposures to the material with many incremental additions and reviews. Thus the early chapters of this book tell the story of the brain’s origins in a first run-through of the entire system; this is followed by other such surveys in succeeding chapters, each from a different angle. The book proceeds from basic aspects of nerve cells and their physiology to the evolutionary beginnings of the nervous system to differentiation and development, motor and sensory systems, and the structure and function of the main parts of the brain. Along the way, it makes enlightening connections to evolutionary history and individual development. Brain Structure and Its Origins can be used for advanced undergraduate or beginning graduate classes in neuroscience, biology, psychology, and related fields, or as a reference for researchers and others who want to know more about the brain.
Downloadable instructor resources available for this title: file of figures in the book
Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both real and simulated autonomous robots. The Horizons of Evolutionary Robotics offers an authoritative overview of this rapidly developing field, presenting state-of-the-art research by leading scholars. The result is a lively, expansive survey that will be of interest to computer scientists, robotics engineers, neuroscientists, and philosophers.
The contributors discuss incorporating principles from neuroscience into ER; dynamical analysis of evolved agents; constructing appropriate evolutionary pathways; spatial cognition; the coevolution of robot brains and bodies; group behavior; the evolution of communication; translating evolved behavior into design principles; the development of an evolutionary robotics–based methodology for shedding light on neural processes; an incremental approach to complex tasks; and the notion of “mindless intelligence”—complex processes from immune systems to social networks—as a way forward for artificial intelligence.
Contributors Christos Ampatzis, Randall D. Beer, Josh Bongard, Joachim de Greeff, Ezequiel A. Di Paolo, Marco Dorigo, Dario Floreano, Inman Harvey, Sabine Hauert, Phil Husbands, Laurent Keller, Michail Maniadakis, Orazio Miglino, Sara Mitri, Renan Moioli, Stefano Nolfi, Michael O’Shea, Rainer W. Paine, Andy Philippides, Jordan B. Pollack, Michela Ponticorvo, Yoon-Sik Shim, Jun Tani, Vito Trianni, Elio Tuci, Patricia A. Vargas, Eric D. Vaughan