Nautilus Award Finalist The renowned Zen’s monk’s profound study of Buddhist psychology—with insights into how these ancient teachings apply to the modern world Based on the fifty verses on the nature of consciousness taken from the great fifth-century Buddhist master Vasubandhu and the teachings of the Avatamsaka Sutra, Thich Nhat Hanh focuses on the direct experience of recognizing, embracing, and looking deeply into the nature of our feelings and perceptions. Presenting the basic teachings of Buddhist applied psychology, Understanding Our Mind shows us how our mind is like a field, where every kind of seed is planted—seeds of suffering, anger, happiness, and peace. The quality of our life depends on the quality of the seeds in our mind. If we know how to water seeds of joy and transform seeds of suffering, then understanding, love, and compassion will flower. Vietnamese Zen Master Thuong Chieu said, “When we understand how our mind works, the practice becomes easy.”

What is the mind and how does it work?; how can an understanding of our mind be applied to our everyday life? This book provides a practical explanation of the mind in a combination of profound philosophical exploration and practical psychology.

Drawing on current research in anthropology, cognitive psychology, neuroscience, and the humanities, Understanding the Human Mind explores how and why we, as humans, find it so easy to believe we are right—even when we are outright wrong. Humans live out their own lives effectively trapped in their own mind and, despite being exceptional survivors and a highly social species, our inner mental world is often misaligned with reality. In order to understand why, John Edward Terrell and Gabriel Stowe Terrell suggest current dual-process models of the mind overlook our mind’s most decisive and unpredictable mode: creativity. Using a three-dimensional model of the mind, the authors examine the human struggle to stay in touch with reality—how we succeed, how we fail, and how winning this struggle is key to our survival in an age of mounting social problems of our own making. Using news stories of logic-defying behavior, analogies to famous fictitious characters, and analysis of evolutionary and cognitive psychology theory, this fascinating account of how the mind works is a must-read for all interested in anthropology and cognitive psychology.

A Map to the Magic of Reading Stop for a moment and wonder: what's happening in your brain right now—as you read this paragraph? How much do you know about the innumerable and amazing connections that your mind is making as you, in a flash, make sense of this request? Why does it matter? The Reading Mind is a brilliant, beautifully crafted, and accessible exploration of arguably life's most important skill: reading. Daniel T. Willingham, the bestselling author of Why Don't Students Like School?, offers a perspective that is rooted in contemporary cognitive research. He deftly describes the incredibly complex and nearly instantaneous series of events that occur from the moment a child sees a single letter to the time they finish reading. The Reading Mind explains the fascinating journey from seeing letters, then words, sentences, and so on, with the author highlighting each step along the way. This resource covers every aspect of reading, starting with two fundamental processes: reading by sight and reading by sound. It also addresses reading comprehension at all levels, from reading for understanding at early levels to inferring deeper meaning from texts and novels in high school. The author also considers the undeniable connection between reading and writing, as well as the important role of motivation as it relates to reading. Finally, as a cutting-edge researcher, Willingham tackles the intersection of our rapidly changing technology and its effects on learning to read and reading. Every teacher, reading specialist, literacy coach, and school administrator will find this book invaluable. Understanding the fascinating science behind the magic of reading is essential for every educator. Indeed, every "reader" will be captivated by the dynamic but invisible workings of their own minds.

The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. Each chapter of Models of the Mind focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. In addition, Grace examines the history of the field, starting with experiments done on frog legs in the late eighteenth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. Throughout, she reveals the value of using the elegant language of mathematics to describe the machinery of neuroscience.

In this completely updated and revised edition of Designing with the Mind in Mind, Jeff Johnson provides you with just enough background in perceptual and cognitive psychology that user interface (UI) design guidelines make intuitive sense rather than being just a list or rules to follow. Early UI practitioners were trained in cognitive psychology, and developed UI design rules based on it. But as the field has evolved since the first edition of this book, designers enter the field from many disciplines. Practitioners today have enough experience in UI design that they have been exposed to design rules, but it is essential that they understand the psychology behind the rules in order to effectively apply them. In this new edition, you'll find new chapters on human choice and decision making, hand-eye coordination and attention, as well as new examples, figures, and explanations throughout. Provides an essential source for user interface design rules and how, when, and why to apply them Arms designers with the science behind each design rule, allowing them to make informed decisions in projects, and to explain those decisions to others Equips readers with the knowledge to make educated tradeoffs between competing rules, project deadlines, and budget pressures Completely updated and revised, including additional coverage on human choice and decision making, hand-eye coordination and attention, and new mobile and touch-screen examples throughout

This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.