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.
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.
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.
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.
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.
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.
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.
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 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.
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.