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Neuroscience

Neuroscience

Practical Neural Zen

This is not the usual kind of self-help book. Indeed, its major premise heeds a Zen master’s advice to be less self-centered. Yes, it is “one more book of words about Zen,” as the author concedes, yet this book explains meditative practices from the perspective of a “neural Zen.” The latest findings in brain research inform its suggestions.

Zen and the Meditative Transformations of Consciousness

When neurology researcher James Austin began Zen training, he found that his medical education was inadequate. During the past three decades, he has been at the cutting edge of both Zen and neuroscience, constantly discovering new examples of how these two large fields each illuminate the other. Now, in Selfless Insight, Austin arrives at a fresh synthesis, one that invokes the latest brain research to explain the basis for meditative states and clarifies what Zen awakening implies for our understanding of consciousness.

Discovering the Brain of Synesthesia

A person with synesthesia might feel the flavor of food on her fingertips, sense the letter J as shimmering magenta or the number 5 as emerald green, hear and taste a spouse’s voice as buttery golden brown. Synesthetes rarely talk about their peculiar sensory gift--believing either that everyone else senses the world exactly as they do, or that no one else does. Yet synesthesia occurs in one in twenty people, and is even more common among artists.

Brain-Immune Connections in Autism, Schizophrenia, and Depression

In Infectious Behavior, neurobiologist Paul Patterson examines the involvement of the immune system in autism, schizophrenia, and major depressive disorder. Although genetic approaches to these diseases have garnered the lion’s share of publicity and funding, scientists are uncovering evidence of the important avenues of communication between the brain and the immune system and their involvement in mental illness. Patterson focuses on this brain-immune crosstalk, exploring the possibility that it may help us understand the causes of these common but still mysterious diseases.

Patients with Parkinson’s disease (PD) suffer most visibly with such motor deficits as tremor and rigidity and less obviously with a range of nonmotor symptoms, including autonomic dysfunction, mood disorders, and cognitive impairment. The neuropsychiatric disturbances of PD can be as disabling as its motor disorders; but they have only recently begun to be studied intensively by clinicians and scientists.

A Critical Appraisal of Cognitive Neuroscience

Cognitive neuroscience explores the relationship between our minds and our brains, most recently by drawing on brain imaging techniques to align neural mechanisms with psychological processes. In Mind and Brain, William Uttal offers a critical review of cognitive neuroscience, examining both its history and modern developments in the field. He pays particular attention to the role of brain imaging--especially functional magnetic resonance imaging (fMRI)--in studying the mind-brain relationship.

This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images. These inferences concern underlying image and scene structure as well as solutions to such problems as image reconstruction, image segmentation, 3D vision, and object labeling. It offers key findings and state-of-the-art research on both algorithms and applications.

New Perspectives

The notion that neurons in the living brain can change in response to experience—a phenomenon known as "plasticity"—has become a major conceptual issue in neuroscience research as well as a practical focus for the fields of neural rehabilitation and neurodegenerative disease. Early work dealt with the plasticity of the developing brain and demonstrated the critical role played by sensory experience in normal development.

Although William James declared in 1890, “Everyone knows what attention is,” today there are many different and sometimes opposing views on the subject. This fragmented theoretical landscape may be because most of the theories and models of attention offer explanations in natural language or in a pictorial manner rather than providing a quantitative and unambiguous statement of the theory. They focus on the manifestations of attention instead of its rationale.

Functional magnetic resonance imaging (fMRI), which allows researchers to observe neural activity in the human brain noninvasively, has revolutionized the scientific study of the mind. An fMRI experiment produces massive amounts of highly complex data; researchers face significant challenges in analyzing the data they collect. This book offers an overview of the most widely used statistical methods of analyzing fMRI data. Every step is covered, from preprocessing to advanced methods for assessing functional connectivity.