The low spatial frequency (LSF) component of visual stream rapidly conveyed coarse information for global perception, while the high spatial frequency (HSF) component delivered fine-grained information for detailed analyses. Early feedforward theorists deemed that a coarse-to-fine process was sufficient for a rapid scene recognition. However, some researchers discovered some early local recurrent processing in the primary visual cortex. Based on the response priming paradigm, the present study aimed to deeply explore how different spatial frequency interacted each other in the process of rapid scene recognition. Resulted from rapid recognition of prime scenes, Experiment 1 revealed a typical response priming effect. But in Experiment 2, when the HSF and the LSF components of the same pictures were presented in a rapid sequence, neither the LSF-to-HSF sequence nor the HSF-to-LSF sequence reproduced the response priming effect. These results demonstrated that LSF or HSF component alone was not sufficient for rapid scene recognition and, further, the integration of different spatial frequency needed some early feedback loops.
At present, less than 30% of researchers worldwide are women. Long-standing biases and gender stereotypes are discouraging girls and women from pursuing a career in science, technology, engineering and mathematics (STEM) research. Science and gender equality are, however, essential to ensure sustainable development as highlighted by UNESCO. Although underrepresented, and often unacknowledged, female researchers have been crucial to scientific advances. In order to change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers. Therefore, the Sensory Neuroscience section is proud to shed a light on great female researchers and provide them with a platform to showcase their work and role in open science. This editorial initiative of particular relevance, led by Dr. Monica Gori, together with Dr. Elena Nava, Dr. Alessia Tonelli, and Dr. Maria Bianca Amadeo highlights advances in the field of sensory neuroscience to further aid our empirical and theoretical understanding of human sensation and perception.
Handbook of Categorization in Cognitive Science, Second Edition presents the study of categories and the process of categorization as viewed through the lens of the founding disciplines of the cognitive sciences, and how the study of categorization has long been at the core of each of these disciplines. The literature on categorization reveals there is a plethora of definitions, theories, models and methods to apprehend this central object of study. The contributions in this handbook reflect this diversity. For example, the notion of category is not uniform across these contributions, and there are multiple definitions of the notion of concept. Furthermore, the study of category and categorization is approached differently within each discipline. For some authors, the categories themselves constitute the object of study, whereas for others, it is the process of categorization, and for others still, it is the technical manipulation of large chunks of information. Finally, yet another contrast has to do with the biological versus artificial nature of agents or categorizers. - Defines notions of category and categorization - Discusses the nature of categories: discrete, vague, or other - Explores the modality effects on categories - Bridges the category divide - calling attention to the bridges that have already been built, and avenues for further cross-fertilization between disciplines
The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory
Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In this book, Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In particular, he examines two major problems. The first, object recognition and classification, involves recognizing objects despite large variations in appearance caused by changes in viewing position, illumination, occlusion, and object shape. The second, visual cognition, involves the extraction of shape properties and spatial relations in the course of performing visual tasks such as object manipulation, planning movements in the environment, or interpreting graphical material such as diagrams, graphs and maps. The book first takes up object recognition and develops a novel approach to the recognition of three-dimensional objects. It then studies a number of related issues in high-level vision, including object classification, scene segmentation, and visual cognition. Using computational considerations discussed throughout the book, along with psychophysical and biological data, the final chapter proposes a model for the general flow of information in the visual cortex. Understanding vision is a key problem in the brain sciences, human cognition, and artificial intelligence. Because of the interdisciplinary nature of the theories developed in this work, High-Level Vision will be of interest to readers in all three of these fields.
The Cerebellum and Cognition pulls together a preeminent group of authors. The cerebellum has been previously considered as a highly complex structure involved only with motor control. The cerebellum is essential to nonmotor functions, and recent research has revealed new medically important roles of the cerebellum and cognitive processes. - Selected for inclusion in Doody's Core Titles 2013, an essential collection development tool for health sciences libraries - Comprehensive coverage of cerebellum in motor control and cognition - New developments regarding the cerebellum and motor systems - Therapeutic implications of cerebellar contributions to cognition - Preeminent group of contributors
Emotion can impact various aspects of our cognition and behavior, by enhancing or impairing them (e.g., enhanced attention to and memory for emotional events, or increased distraction produced by goal-irrelevant emotional information). On the other hand, emotion processing is also susceptible to cognitive influences, typically exerted in the form of cognitive control of motion, or emotion regulation. Despite important recent progress in understanding emotion- cognition interactions, a number of aspects remain unclear. The present book comprises a collection of manuscripts discussing emerging evidence regarding the mechanisms underlying emotion- cognition interactions in healthy functioning and alterations associated with clinical conditions, in which such interactions are dysfunctional. Initiated with a more restricted focus, targeting (1) identification and in depth analysis of the circumstances in which emotion enhances or impairs cognition and (2)identification of the role of individual differences in these effects, our book has emerged into a comprehensive collection of outstanding contributions investigating emotion-cognition interactions, based on approaches spanning from behavioral and lesion to pharmacological and brain imaging, and including empirical, theoretical, and review papers alike. Co-hosted by the Frontiers in Neuroscience - Integrative Neuroscience and Frontiers in Psychology - Emotion Science, the contributions comprising our book and the associated research topic are grouped around the following seven main themes, distributed across the two hosting journals: I. Emotion and Selectivity in Attention and Memory; II. The Impact of Emotional Distraction; Linking Enhancing and Impairing Effects of Emotion; III. What Really is the Role of the Amygdala?; IV. Age Differences in Emotion Processing; The Role of Emotional Valence; V. Affective Face Processing, Social Cognition, and Personality Neuroscience; VI. Stress, Mood, Emotion, and the Prefrontal Cortex; The Role of Control in the Stress Response; VII. Emotion-Cognition Interactions in Clinical Conditions. As illustrated by the present collection of contributions, emotion-cognition interactions can be identified at different levels of processing, from perception and attention to long- term memory, decision making processes, and social cognition and behavior. Notably, these effects are subject to individual differences that may affect the way we perceive, experience, and remember emotional experiences, or cope with emotionally challenging situations. Moreover, these opposing effects tend to co-occur in affective disorders, such as depression and PTSD, where uncontrolled recollection of and rumination on distressing memories also lead to impaired cognition due to emotional distraction. Understanding the nature and neural mechanisms of these effects is critical, as their exacerbation and co-occurrence in clinical conditions lead to devastating effects and debilitation. Hence, bringing together such diverse contributions has allowed not only an integrative understanding of the current extant evidence but also identification of emerging directions and concrete venues for future investigations.
Neurobiology of Language explores the study of language, a field that has seen tremendous progress in the last two decades. Key to this progress is the accelerating trend toward integration of neurobiological approaches with the more established understanding of language within cognitive psychology, computer science, and linguistics. This volume serves as the definitive reference on the neurobiology of language, bringing these various advances together into a single volume of 100 concise entries. The organization includes sections on the field's major subfields, with each section covering both empirical data and theoretical perspectives. "Foundational" neurobiological coverage is also provided, including neuroanatomy, neurophysiology, genetics, linguistic, and psycholinguistic data, and models. - Foundational reference for the current state of the field of the neurobiology of language - Enables brain and language researchers and students to remain up-to-date in this fast-moving field that crosses many disciplinary and subdisciplinary boundaries - Provides an accessible entry point for other scientists interested in the area, but not actively working in it – e.g., speech therapists, neurologists, and cognitive psychologists - Chapters authored by world leaders in the field – the broadest, most expert coverage available
