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The human brain is arguably the most complex system we know of. Over the past few decades, scientists have developed several methods and theories for studying the functional organization of the brain, and how cognitive/perceptual/emotional processes might arise from the brain's electro-chemical-computational dynamics. These methods facilitated and inspired large literatures on brain-behavior links, and yet there remains a seemingly endless chasm between our simple impoverished models and the unfathomable complexity of the human brain. The purpose of this Research Topic is to ask the question: Are we thinking about thinking about the brain in the right way? In most scientific publications, researchers describe a broad and established theoretical framework and briefly describe new experimental results consistent with that framework. Here, we encourage authors to express ideas that might be radical, controversial, or different from established theories or methodological approaches. Supportive data are highly encouraged. The aim is to spark discussions about the validity and usefulness of current methodological/theoretical approaches in human cognitive neuroscience, with the goal of inspiring new approaches and ways of thinking. Neuroscience is a massive field with myriad methodological and theoretical approaches; we focus this Research Topic on approaches most commonly used in human neuroscience.
A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.
This volume presents recent empirical advances using neuroscience techniques to investigate how culture influences neural processes underlying a wide range of human abilities, from perception and scene processing to memory and social cognition. It also highlights the theoretical and methodological issues with conducting cultural neuroscience research. Section I provides diverse theoretical perspectives on how culture and biology interact are represented. Sections II –VI is to demonstrate how cultural values, beliefs, practices and experience affect neural systems underlying a wide range of human behavior from perception and cognition to emotion, social cognition and decision-making. The final section presents arguments for integrating the study of culture and the human brain by providing an explicit articulation of how the study of culture can inform the study of the brain and vice versa.
The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior—a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains. Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning.
Can the psychodynamics of the mind be correlated with neurodynamic processes in the brain? The book revisits a question that scientists and psychoanalysts have been asking for more than a century. It brings together experts from Psychology, Psychoanalysis, Neuroscience, Philosophy, Psychiatry and Neurology to consider this question.
This volume aims to introduce organizational researchers and practitioners to the role of neuroscience in building theory, research methodologies and practical applications. The volume introduces the field of organizational neuroscience and explores its influence on topics such as leadership, ethics and moral reasoning.
The burgeoning field of social neuroscience has begun to illuminate the complex biological bases of human social cognitive abilities. However, in spite of being based on the premise of investigating the neural bases of interacting minds, the majority of studies have focused on studying brains in isolation using paradigms that investigate offline social cognition, i.e. social cognition from a detached observer's point of view, asking study participants to read out the mental states of others without being engaged in interaction with them. Consequently, the neural correlates of real-time social interaction have remained elusive and may —paradoxically— represent the 'dark matter' of social neuroscience. More recently, a growing number of researchers have begun to study online social cognition, i.e. social cognition from a participant's point of view, based on the assumption that there is something fundamentally different when we are actively engaged with others in real-time social interaction as compared to when we merely observe them. Whereas, for offline social cognition, interaction and feedback are merely a way of gathering data about the other person that feeds into processing algorithms 'inside’ the agent, it has been proposed that in online social cognition the knowledge of the other —at least in part— resides in the interaction dynamics ‘between’ the agents. Furthermore being a participant in an ongoing interaction may entail a commitment toward being responsive created by important differences in the motivational foundations of online and offline social cognition. In order to promote the development of the neuroscientific investigation of online social cognition, this Frontiers Research Topic aims at bringing together contributions from researchers in social neuroscience and related fields, whose work involves the study of at least two individuals and sometimes two brains, rather than single individuals and brains responding to a social context. Specifically, this Research Topic will adopt an interdisciplinary perspective on what it is that separates online from offline social cognition and the putative differences in the recruitment of underlying processes and mechanisms. Here, an important focal point will be to address the various roles of social interaction in contributing to and —at times— constituting our awareness of other minds. For this Research Topic, we, therefore, solicit reviews, original research articles, opinion and method papers, which address the investigation of social interaction and go beyond traditional concepts and ways of experimentation in doing so. While focusing on work in the neurosciences, this Research Topic also welcomes contributions in the form of behavioral studies, psychophysiological investigations, methodological innovations, computational approaches, developmental and patient studies. By focusing on cutting-edge research in social neuroscience and related fields, this Frontiers Research Topic will create new insights concerning the neurobiology of social interaction and holds the promise of helping social neuroscience to really go social.
This fifth edition of the best-selling international cognitive psychology textbook has been substantially updated and restructured to reflect new developments in cognitive psychology, and made more student-friendly. Established approaches covered in depth include: Experimental cognitive psychology Cognitive science with its focus on modelling Cognitive neuropsychology with its focus on cognition following brain damage. Extensive new material in this edition includes: Cognitive neuroscience approaches such as brain scanning and imaging studies which illustrate the principles of brain function New material on consciousness. Throughout, the new material is fully integrated with more traditional approaches to create a comprehensive, coherent and totally current overview of perception, attention, memory, concepts, language, problem solving, judgement and reasoning. A two-colour design, plus a rich array of supplementary multimedia materials, make this edition more accessible and entertaining for students. The multimedia materials include: A PowerPoint lecture course and MCQ Test Bank free to qualifying adopters A unique web-based Student Learning Program. This is an interactive revision program incorporating a rich array of multimedia resources including interactive exercises and demonstrations, and active reference links to journal articles. This is offered on a subscription basis to departments adopting the text. A free demonstration of a sample chapter is available to potential subscribers at http: //www.psypress.com/ek5/ .