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Essentials of Cognitive Neuroscience
Essentials of Cognitive Neuroscience guides undergraduate and early-stage graduate students with no previous neuroscientific background through the fundamental principles and themes in a concise, organized, and engaging manner. Provides students with the foundation to understand primary literature, recognize current controversies in the field, and engage in discussions on cognitive neuroscience and its future Introduces important experimental methods and techniques integrated throughout the text Assists student comprehension through four-color images and thorough pedagogical resources throughout the text Accompanied by a robust website with multiple choice questions, experiment vidoes, fMRI data, web links and video narratives from a global group of leading scientists for students. For Instructors there are sample syllabi and exam questions
The Cognitive Neurosciences
"The fourth edition of The Cognitive Neurosciences continues to chart new directions in the study of the biologic underpinnings of complex cognition - the relationship between the structural and physiological mechanisms of the nervous system and the psychological reality of the mind. The material in this edition is entirely new, with all chapters written specifically for it." --Book Jacket.
Hierarchical Neural Networks for Image Interpretation
Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains. This book sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques. Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.
Beyond open access: visions for open evaluation of scientific papers by post-publication peer review
A scientific publication system needs to provide two basic services: access and evaluation. The traditional publication system restricts the access to papers by requiring payment, and it restricts the evaluation of papers by relying on just 2-4 pre-publication peer reviews and by keeping the reviews secret. As a result, the current system suffers from a lack of quality and transparency of the peer-review evaluation process, and the only immediately available indication of a new paper’s quality is the prestige of the journal it appeared in. Open access is now widely accepted as desirable and is slowly beginning to become a reality. However, the second essential element, evaluation, has rece...
Year Book
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How the World Computes
This book constitutes the refereed proceedings of the Turing Centenary Conference and the 8th Conference on Computability in Europe, CiE 2012, held in Cambridge, UK, in June 2012. The 53 revised papers presented together with 6 invited lectures were carefully reviewed and selected with an acceptance rate of under 29,8%. The CiE 2012 Turing Centenary Conference will be remembered as a historic event in the continuing development of the powerful explanatory role of computability across a wide spectrum of research areas. The papers presented at CiE 2012 represent the best of current research in the area, and forms a fitting tribute to the short but brilliant trajectory of Alan Mathison Turing. Both the conference series and the association promote the development of computability-related science, ranging over mathematics, computer science and applications in various natural and engineering sciences such as physics and biology, and also including the promotion of related non-scientific fields such as philosophy and history of computing.
The Oxford Handbook of Attention
During the last three decades, there have been enormous advances in our understanding of the neural mechanisms of selective attention at the network as well as the cellular level. The Oxford Handbook of Attention brings together the different research areas that constitute contemporary attention research into one comprehensive and authoritative volume. In 40 chapters, it covers the most important aspects of attention research from the areas of cognitive psychology, neuropsychology, human and animal neuroscience, computational modelling, and philosophy. The book is divided into 4 main sections. Following an introduction from Michael Posner, the books starts by looking at theoretical models of attention. The next two sections are dedicated to spatial attention and non-spatial attention respectively. Within section 4, the authors consider the interactions between attention and other psychological domains. The last two sections focus on attention-related disorders, and finally, on computational models of attention. Aimed at both scholars and students, the Oxford Handbook of Attention provides a concise and state-of-the-art review of the current literature in this field.
Disaster in the Early Modern World
How did early modern societies think about disasters, such as earthquakes or floods? How did they represent disaster, and how did they intervene to mitigate its destructive effects? This collection showcases the breadth of new work on the period ca. 1300-1750. Covering topics that range from new thinking about risk and securitisation to the protection of dikes from shipworm, and with a geography that extends from Europe to Spanish America, the volume places early modern disaster studies squarely at the intersection of intellectual, cultural and socio-economic history. This period witnessed fresh speculation on nature, the diffusion of disaster narratives and imagery and unprecedented attempts to control the physical world. The book will be essential to specialists and students of environmental history and disaster, as well as general readers who seek to discover how pre-industrial societies addressed some of the same foundational issues we grapple with today.
Plasticity in the Visual System
Mechanisms of neural plasticity enable the encoding and memorization of information based on sensory inputs and can be harnessed to partially restore function after CNS assault such as stroke or head trauma. In the present book, experts from the field of visual system plasticity describe and evaluate the evidence for neural mechanisms proposed to underlie CNS plasticity in the major divisions of the brain dedicated to visual processing, the retina, sub-cortical structures and cortex. We present studies from a wide variety of disciplines that range from molecular biology to neurophysiology and computer modeling. Leading investigators discuss their own work, and integrate this research with colleagues from other specializations. The book points out future applications for this research including clinical uses and engineering within the biomedical sciences. This book is an exciting and thought provoking read for all levels of science enthusiast interested in the physical basis of learning and cognition.
