Mechanisms Of Conditional Fear Extinction In Mice

Using the most well-studied behavioral analyses of animal subjects to promote a better understanding of the effects of disease and the effects of new therapeutic treatments on human cognition, Methods of Behavior Analysis in Neuroscience provides a reference manual for molecular and cellular research scientists in both academia and the pharmaceutic

This book aims to provide the reader a neuroscientific understanding surrounding a very simple question: how do we learn not to fear? Exploring answers to this question is very important for two reasons. First, learning about the neural mechanisms of fear extinction is of relevance to everyone’s life - it is such a basic yet relevant question to our daily experiences. Therefore, understanding brain mechanisms of fear and its regulation is essential from a basic neuroscience point of view. Second, excessive fear and the inability to regulate its expression is one of the hallmarks of fear-, anxiety-, trauma-, and stressor-related psychopathologies. And as such, learning about how fear is acquired, stored, expressed, and regulated could help advance our understanding of the etiology of psychopathology, the maintenance of symptoms pertaining to failure to regulate fear, and could help us develop novel therapeutics to equip providers and patients with the tools to better quell their fears. The contributions contained in this book are provided by experts in the fields of basic and clinical neuroscience, experimental and clinical psychology, and neuropsychiatry. The contributions are organized to start the reader with basic definitions of how we define fear, how we study its neural circuits at the molecular and cellular levels, how to study human behavior and the brain using state-of-the art experimental and statistical tools, to how much fear contributes to psychopathology. This volume ends with current advances aimed to enhance the capacity to extinguish fear; a clinical result that would aid in the treatment of multiple psychiatric disorders, followed by a discussion on future directions of this highly important and relevant field.

This fully revised second edition provides the only unified synthesis of available information concerning the mechanisms of higher-order memory formation. It spans the range from learning theory, to human and animal behavioral learning models, to cellular physiology and biochemistry. It is unique in its incorporation of chapters on memory disorders, tying in these clinically important syndromes with the basic science of synaptic plasticity and memory mechanisms. It also covers cutting-edge approaches such as the use of genetically engineered animals in studies of memory and memory diseases. Written in an engaging and easily readable style and extensively illustrated with many new, full-color figures to help explain key concepts, this book demystifies the complexities of memory and deepens the reader’s understanding. More than 25% new content, particularly expanding the scope to include new findings in translational research. Unique in its depth of coverage of molecular and cellular mechanisms Extensive cross-referencing to Comprehensive Learning and Memory Discusses clinically relevant memory disorders in the context of modern molecular research and includes numerous practical examples

Throughout their lifetime, animals learn to associate stimuli with their consequences. Following memory acquisition and consolidation, circumstances may arise that necessitate that initially learned behaviour is no longer relevant. The ensuing process is called extinction learning and involves a novel and complex learning procedure that involves a large number of neural entities. While the neural fundaments of the initial acquisition are well studied, our understanding of the behavioural and neural basis of extinction is still limited and derives mostly from rodent data acquired through fear conditioning paradigms. Fear conditioning and extinction in rodents is a spectacularly successful paradigm within behavioral neuroscience. However, in recent years, new approaches have been emerging that examine the mechanisms of extinction learning in different setting that also involve appetitive models, a broader comparative perspective, a focus on other brain systems, an examination of hormonal factors, and conditioning of immune responses. Only a broader analysis of the neural fundaments of extinction learning will finally uncover shared and distinct mechanisms that underlie extinction learning in different functional systems. The papers compiled in this Research Topic offer new and valuable insights into the mechanisms and functional implementation of extinction learning at its different levels of complexity, and form the basis for new concepts and research ideas in this field.

The costs associated with a drug's clinical trials are so significant that it has become necessary to validate both its safety and efficacy in animal models prior to the continued study of the drug in humans. Featuring contributions from distinguished researchers in the field of cognitive therapy research, Animal Models of Cognitive Impairmen

This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics. Allows readers to analyze data sets with small samples and many features; Provides a fast algorithm, based upon linear algebra, to analyze big data; Includes several applications to multi-view data analyses, with a focus on bioinformatics.

Here is a broad overview of the central topics and issues in psychopharmacology, biological psychiatry and behavioral neurosciences, with information about developments in the field, including novel drugs and technologies. The more than 2000 entries are written by leading experts in pharmacology and psychiatry and comprise in-depth essays, illustrated with full-color figures, and are presented in a lucid style.

Obsessive-compulsive disorder (OCD) affects one person in 40 and can cause great suffering. This volume provides the first comprehensive summary of our understanding of this enigmatic condition, summarizing current work ranging from genetics and neurobiology through cognitive psychology, treatment, personal experiences, and societal implications