Women in Sensory Neuroscience
Women in Sensory Neuroscience

Author: Elena Nava

Publisher: Frontiers Media SA

Published: 2023-08-24

Total Pages: 195

ISBN-13: 2832531717

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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
Handbook of Categorization in Cognitive Science

Author: Henri Cohen

Publisher: Elsevier

Published: 2017-06-03

Total Pages: 1277

ISBN-13: 0128097663

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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

Biological and Computer Vision
Biological and Computer Vision

Author: Gabriel Kreiman

Publisher: Cambridge University Press

Published: 2021-02-04

Total Pages: 275

ISBN-13: 1108483437

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This book introduces neural mechanisms of biological vision and how artificial intelligence algorithms learn to interpret images.

Micro-, Meso- and Macro-Dynamics of the Brain
Micro-, Meso- and Macro-Dynamics of the Brain

Author: György Buzsáki

Publisher: Springer

Published: 2016-05-02

Total Pages: 181

ISBN-13: 3319288024

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This book brings together leading investigators who represent various aspects of brain dynamics with the goal of presenting state-of-the-art current progress and address future developments. The individual chapters cover several fascinating facets of contemporary neuroscience from elementary computation of neurons, mesoscopic network oscillations, internally generated assembly sequences in the service of cognition, large-scale neuronal interactions within and across systems, the impact of sleep on cognition, memory, motor-sensory integration, spatial navigation, large-scale computation and consciousness. Each of these topics require appropriate levels of analyses with sufficiently high temporal and spatial resolution of neuronal activity in both local and global networks, supplemented by models and theories to explain how different levels of brain dynamics interact with each other and how the failure of such interactions results in neurologic and mental disease. While such complex questions cannot be answered exhaustively by a dozen or so chapters, this volume offers a nice synthesis of current thinking and work-in-progress on micro-, meso- and macro- dynamics of the brain.

Mechatronic Systems in Engineering
Mechatronic Systems in Engineering

Author: Sahin Yildirim

Publisher: BoD – Books on Demand

Published: 2017-05-03

Total Pages: 165

ISBN-13: 9535131257

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This book can serve as a reference resource for those very same design and control engineers who help connect their everyday experience in design with the control field of mechatronics. This book also consists of basic and main mechatronic system's laboratory applications for use in research and development departments in academia, government, and industry, and it can be used as a reference source in university libraries. It can also be used as a resource for scholars interested in understanding and explaining the engineering design and control process and for engineering students studying within the traditional structure of most engineering departments and colleges. It is evident that there is an expansion of mechatronics laboratories and classes in the university environment worldwide.

Feedback Systems
Feedback Systems

Author: Karl Johan Åström

Publisher: Princeton University Press

Published: 2021-02-02

Total Pages:

ISBN-13: 069121347X

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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

Computational Cognitive Neuroscience
Computational Cognitive Neuroscience

Author: Yuko Munakata

Publisher: Independently Published

Published: 2012-09

Total Pages: 188

ISBN-13:

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Introduction to computer modeling of the brain, to understand how people think. Networks of interacting neurons produce complex emergent behavior including perception, attention, motor control, learning, memory, language, and executive functions (motivation, decision making, planning, etc).

Computational Explorations in Cognitive Neuroscience
Computational Explorations in Cognitive Neuroscience

Author: Randall C. O'Reilly

Publisher: MIT Press

Published: 2000-08-28

Total Pages: 540

ISBN-13: 9780262650540

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This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.

Image And Brain
Image And Brain

Author: Stephen M. Kosslyn

Publisher: MIT Press

Published: 1996-08-26

Total Pages: 532

ISBN-13: 9780262611244

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This long-awaited work by prominent Harvard psychologist Stephen Kosslyn integrates a twenty-year research program on the nature of high-level vision and mental imagery. Image and Brain marshals insights and empirical results from computer vision, neuroscience, and cognitive science to develop a general theory of visual mental imagery, its relation to visual perception, and its implementation in the human brain. It offers a definitive resolution to the long-standing debate about the nature of the internal representation of visual mental imagery. Kosslyn reviews evidence that perception and representation are inextricably linked, and goes on to show how "quasi-pictorial" events in the brain are generated, interpreted, and used in cognition. The theory is tested with brain-scanning techniques that provide stronger evidence than has been possible in the past. Known for his work in high-level vision, one of the most empirically successful areas of experimental psychology, Kosslyn uses a highly interdisciplinary approach. He reviews and integrates an extensive amount of literature in a coherent presentation, and reports a wide range of new findings using a host of techniques. A Bradford Book