"Secrets of Neural Goals" is a comprehensive guide designed to help individuals achieve their personal and professional aspirations using the principles of Neuro-Linguistic Programming (NLP). The book delves into the transformative power of NLP techniques to unlock the potential of the mind, offering readers practical approaches to setting and achieving meaningful goals. It emphasizes the importance of aligning one's goals with their core values and purpose, providing a structured framework for goal setting and sustained achievement.

"A truly comprehensive, scientifically rigorous and utterly fascinating account of when, how, and why we dream. Put simply, When Brains Dream is the essential guide to dreaming." —Matthew Walker, author of Why We Sleep Questions on the origins and meaning of dreams are as old as humankind, and as confounding and exciting today as when nineteenth-century scientists first attempted to unravel them. Why do we dream? Do dreams hold psychological meaning or are they merely the reflection of random brain activity? What purpose do dreams serve? When Brains Dream addresses these core questions about dreams while illuminating the most up-to-date science in the field. Written by two world-renowned sleep and dream researchers, it debunks common myths that we only dream in REM sleep, for example—while acknowledging the mysteries that persist around both the science and experience of dreaming. Antonio Zadra and Robert Stickgold bring together state-of-the-art neuroscientific ideas and findings to propose a new and innovative model of dream function called NEXTUP—Network Exploration to Understand Possibilities. By detailing this model’s workings, they help readers understand key features of several types of dreams, from prophetic dreams to nightmares and lucid dreams. When Brains Dream reveals recent discoveries about the sleeping brain and the many ways in which dreams are psychologically, and neurologically, meaningful experiences; explores a host of dream-related disorders; and explains how dreams can facilitate creativity and be a source of personal insight. Making an eloquent and engaging case for why the human brain needs to dream, When Brains Dream offers compelling answers to age-old questions about the mysteries of sleep.

Leadership techniques backed by the world's most effective teams The 7 Secrets of Neuron Leadership offers a diverse collection of wisdom and practical knowledge to help you build and lead your most effective team yet. Written by a former U.S. Navy diver, this book draws from the author's experiences and beyond to reveal key truths about the nature of teamwork, and expose the core of effective team leadership. You'll go back to ancient Greece to discover the nine personality types and the seven types of love that form the foundation of human interaction, and learn how to use this wisdom as a scaffold for communication within your own team. You'll mine the latest neuroscience research as you delve into the Triune Brain and personality neurotransmitters, and explore the biological hardwiring that can be finessed and focused to achieve results. Throughout, you'll gain insightful perspective from military and business leaders about what does—and doesn't—work in the real world; discussions with a former head of NASA, a Deputy Secretary of Defense, Navy SEAL officers, two Secretaries of the Navy, and dozens of CEOs, executives, researchers, and renowned world leaders provide invaluable advice backed by a track record of success. Gain insight from top business and military leaders Explore ancient Greek philosophy on team building Discover helpful truths from modern neuroscience research Learn to communicate, educate, and motivate more effectively Effective teamwork begins with building the right team, and leading with the right kind of leadership for that particular team. The 7 Secrets of Neuron Leadership shows you how to put the right players in place and give them the support, guidance, and direction they need to bring home exceptional results.

Experts describe current perspectives and experimental approaches to understanding the neural bases of creativity. 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. The contributors discuss such issues as the heritability of creativity; creativity in patients with brain damage, neurodegenerative conditions, and mental illness; clinical interventions and the relationship between psychopathology and creativity; neuroimaging studies of intelligence and creativity; the neuroscientific basis of creativity-enhancing methodologies; and the information-processing challenges of viewing visual art. Contributors Baptiste Barbot, Mathias Benedek, David Q. Beversdorf, Aaron P. Blaisdell, Margaret A. Boden, Dorret I. Boomsma, Adam S. Bristol, Shelley Carson, Marleen H. M. de Moor, Andreas Fink, Liane Gabora, Dennis Garlick, Elena L. Grigorenko, Richard J. Haier, Rex E. Jung, James C. Kaufman, Helmut Leder, Kenneth J. Leising, Bruce L. Miller, Apara Ranjan, Mark P. Roeling, W. David Stahlman, Mei Tan, Pablo P. L. Tinio, Oshin Vartanian, Indre V. Viskontas, Dahlia W. Zaidel

Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters. - Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN - Authored by top experts, global field pioneers, and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making - Edited by high-level academics and researchers in intelligent systems and neural networks - Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks

The world's top experts take readers to the very frontiers of brain science Includes a chapter by 2014 Nobel laureates May-Britt Moser and Edvard Moser An unprecedented look at the quest to unravel the mysteries of the human brain, The Future of the Brain takes readers to the absolute frontiers of science. Original essays by leading researchers such as Christof Koch, George Church, Olaf Sporns, and May-Britt and Edvard Moser describe the spectacular technological advances that will enable us to map the more than eighty-five billion neurons in the brain, as well as the challenges that lie ahead in understanding the anticipated deluge of data and the prospects for building working simulations of the human brain. A must-read for anyone trying to understand ambitious new research programs such as the Obama administration's BRAIN Initiative and the European Union's Human Brain Project, The Future of the Brain sheds light on the breathtaking implications of brain science for medicine, psychiatry, and even human consciousness itself. Contributors include: Misha Ahrens, Ned Block, Matteo Carandini, George Church, John Donoghue, Chris Eliasmith, Simon Fisher, Mike Hawrylycz, Sean Hill, Christof Koch, Leah Krubitzer, Michel Maharbiz, Kevin Mitchell, Edvard Moser, May-Britt Moser, David Poeppel, Krishna Shenoy, Olaf Sporns, Anthony Zador.

How to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neural coding and spike-timing-dependent plasticity are integrated to develop the world's largest functional brain model.