Affective Neuroscience

This collection of 11 wide-ranging lectures which appeared originally in 1933, was based on lectures previously given when Jung was in the process of absorbing a considerable period of study of Eastern religions, Gnosticism and other religious sources. It was a time, according to the translator Cary F. Baynes, ‘when the Western world stands on the verge of a spiritual rebirth...after a long period of outward expansion, we are beginning to look inside ourselves once more.’

Leadership can be learned: New evidence from neuroscience clearly points to ways that leaders can significantly improve how they engage with and motivate others. This book provides leaders and managers with an accessible guide to practical, effective actions, based on neuroscience.

From University of Washington professor Chantel Prat comes The Neuroscience of You, a rollicking adventure into the human brain that reveals the surprising truth about neuroscience, shifting our focus from what’s average to an understanding of how every brain is different, exactly why our quirks are important, and what this means for each of us.

This groundbreaking book explores the recent revolution in psychotherapy that has brought an understanding of the social nature of people's brains to a therapeutic context. Louis Cozolino is a master at synthesizing neuroscientific information and demonstrating how it applies to psychotherapy practice. New material on altruism, executive function, trauma, and change round out this essential book.

Thoughts and moods are chemical reactions in your brain that you might think you are powerless to control. But modern science has shown beyond doubt that changing your behaviour and thought patterns can rewire the neurological pathways of your brain to literally change how you think, feel and view yourself. In The Neuroscience of Self-Love, Alexis Fernandez-Preiksa takes the theory out of neuroscience and gives you practical tools and exercises to create a new self that is happier, more balanced and less dependent on others for validation.

The first edition of this book tackled these important questions of interpersonal neurobiology - that the brain is a social organ built through experience - using poignant case examples from the author's years of clinical experience. Elegant explanations of social neuroscience wove together emerging findings from the research literature to bring neuroscience to the stories of our lives.

Written by experts and authorities in the field and professionally narrated for easy listening, this crash course is a valuable tool both during school and when preparing for the USMLE, or if you're simply interested in neuroscience. The audio is focused and high-yield, covering the most important topics you might expect to learn in a typical medical school neuroscience course. Included are both capsule and detailed explanations of critical issues and topics you must know to master neuroscience.

The effective therapist must have knowledge of evolution and neuroanatomy, as well as the systems of our brains and how they work together to give rise to who we are, how we thrive, and why we suffer. This book will give clinicians all they need to understand the social brain, the developing brain, the executive brain, consciousness, attachment, trauma, memory, and the latest information about clinical assessment. Key figures and terms of neuroscience, along with numerous case examples, bring the material to life.

In Tracing Autism, Des Fitzgerald offers an up-close account of the search for a neurological explanation of autism. As autism has gained cultural prominence with more diagnoses and more controversy, its biological causes remain elusive. Through in-depth interviews with neuroscientists, psychologists, and psychiatrists, Fitzgerald examines what it means to do scientific research in the ambiguous terrain of autism research, a field marked by shifting horizons of uncertainty and ambivalence.

How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in AI strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network? As Peter Robin Hiesinger argues, "the information problem" underlies both fields.