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This volume covers a broad range of current research topics addressing the function of visuospatial attention and working memory. It discusses a variety of perspectives ranging from evolutionary and genetic underpinnings to neural substrates/computational processes and the connection between attention and working memory. Contributions address the topic at the molecular, system and evolutionary scales and will be of interest to a range of audiences from animal behaviour specialists, experimental psychologists to clinicians in the field of psychiatry and neurology.

Attention refers to our ability to selectively process the vast array of stimuli impinging upon our senses at every moment. The mental processes of attention are critical for allowing us to maintain focus and complete tasks efficiently, even within distracting environments. The brain mechanisms of attention have been studied for decades, yet much still remains unknown, and consensus on core issues remains elusive. A unique aspect of this book are chapters that highlight recent debates on critical issues in attention research. Each of these chapters includes a comprehensive discussion paper that is followed by peer commentaries and an authors' responses. These debates include whether attention can modulate activity of even the earliest cortical processing region and whether changes in white matter are critical for plasticity-related effects of attention training. In addition to these discussion chapters, the book presents cutting-edge research on some of the newest theories of attentional control and selective attention, including the influence of practice, epigenetics, reward, social interaction, and distractor suppression. These studies employ advanced cognitive neuroscience methods such as neurostimulation, functional neuroimaging pattern analysis, and the evaluation of oscillatory brain activity to shed light on the brain mechanisms underlying attention. The chapters in this book were originally published as articles in various issues of the journal Cognitive Neuroscience.

This eBook is a volume based on the “Eye Movements and Visual Cognition” Special Issue published in the journal Vision by MDPI and edited by Raymond Klein and Simon Liversedge. The eBook comprises 19 high-quality chapters that are original and topical works by leading academic figures in the field of human vision and visual cognition. In putting together the book, we aimed to provide an informative body of work to stimulate and foster useful intellectual exchange between individuals working on basic theoretical issues as well as on more applied aspects of vision and cognitive science. From the outset, we sought papers that provide concise and astute reviews of topics within this broad field. The present volume includes reviews that are narrative (critiquing and summarizing research on a topic), tutorial (with a focus on methods and findings), empirical (e.g., meta-analytic), and theoretically synthetic. The eBook also features chapters with new empirical content that resolves an undecided issue stemming from an evaluation of the literature. Finally, where possible, we also selected papers that bridge theoretical and applied issues and provide insight into behavior and its neural substrate. All chapters were subject to peer review and went through several rounds of revision prior to acceptance.

Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition. In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want to learn the basic facts of electrophysiology. Dynamical Systems in Neuroscience presents a systematic study of the relationship of electrophysiology, nonlinear dynamics, and computational properties of neurons. It emphasizes that information processing in the brain depends not only on the electrophysiological properties of neurons but also on their dynamical properties. The book introduces dynamical systems, starting with one- and two-dimensional Hodgkin-Huxley-type models and continuing to a description of bursting systems. Each chapter proceeds from the simple to the complex, and provides sample problems at the end. The book explains all necessary mathematical concepts using geometrical intuition; it includes many figures and few equations, making it especially suitable for non-mathematicians. Each concept is presented in terms of both neuroscience and mathematics, providing a link between the two disciplines. Nonlinear dynamical systems theory is at the core of computational neuroscience research, but it is not a standard part of the graduate neuroscience curriculum—or taught by math or physics department in a way that is suitable for students of biology. This book offers neuroscience students and researchers a comprehensive account of concepts and methods increasingly used in computational neuroscience. An additional chapter on synchronization, with more advanced material, can be found at the author's website, www.izhikevich.com.

An essential reference book for visual science.

Since the first edition was published in 1951, The Stevens' Handbook of Experimental Psychology has been recognized as the standard reference in the field. The most recent (3rd) edition of the handbook was published in 2004, and it was a success by any measure. But the field of experimental psychology has changed in dramatic ways since then. Throughout the first 3 editions of the handbook, the changes in the field were mainly quantitative in nature. That is, the size and scope of the field grew steadily from 1951 to 2004, a trend that was reflected in the growing size of the handbook itself: the 1-volume first edition (1951) was succeeded by a 2-volume second edition (1988) and then by a 4-volume third edition (2004). Since 2004, however, this still-growing field has also changed qualitatively in the sense that, in virtually every subdomain of experimental psychology, theories of the mind have evolved into theories of the brain. Research methods in experimental psychology have changed accordingly and now include not only venerable EEG recordings (long a staple of research in psycholinguistics) but also MEG, fMRI, TMS, and single-unit recording. The trend towards neuroscience is an absolutely dramatic, worldwide phenomenon that is unlikely to ever be reversed. Thus, the era of purely behavioral experimental psychology is already long gone, even though not everyone has noticed. Experimental psychology and "cognitive neuroscience" (an umbrella term that includes behavioral neuroscience, social neuroscience and developmental neuroscience) are now inextricably intertwined. Nearly every major psychology department in the country has added cognitive neuroscientists to its ranks in recent years, and that trend is still growing. A viable handbook of experimental psychology should reflect the new reality on the ground. There is no handbook in existence today that combines basic experimental psychology and cognitive neuroscience, this despite the fact that the two fields are interrelated – and even interdependent – because they are concerned with the same issues (e.g., memory, perception, language, development, etc.). Almost all neuroscience-oriented research takes as its starting point what has been learned using behavioral methods in experimental psychology. In addition, nowadays, psychological theories increasingly take into account what has been learned about the brain (e.g., psychological models increasingly need to be neurologically plausible). These considerations explain why this edition of: The Stevens' Handbook of Experimental Psychology is now called The Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience. The title serves as a reminder that the two fields go together and as an announcement that the Stevens' Handbook covers it all. The 4th edition of the Stevens’ Handbook is a 5-volume set structured as follows: I. Learning & Memory: Elizabeth Phelps & Lila Davachi (Volume Editors) Topics include fear learning; time perception; working memory; visual object recognition; memory and future imagining; sleep and memory; emotion and memory; attention and memory; motivation and memory; inhibition in memory; education and memory; aging and memory; autobiographical memory; eyewitness memory; and category learning. II. Sensation, Perception & Attention: John Serences (Volume Editor) Topics include attention; vision; color vision; visual search; depth perception; taste; touch; olfaction; motor control; perceptual learning; audition; music perception; multisensory integration; vestibular, proprioceptive, and haptic contributions to spatial orientation; motion perception; perceptual rhythms; the interface theory of perception; perceptual organization; perception and interactive technology; perception for action. III. Language & Thought: Sharon Thompson-Schill (Volume Editor) Topics include reading; discourse and dialogue; speech production; sentence processing; bilingualism; concepts and categorization; culture and cognition; embodied cognition; creativity; reasoning; speech perception; spatial cognition; word processing; semantic memory; moral reasoning. IV. Developmental & Social Psychology: Simona Ghetti (Volume Editor) Topics include development of visual attention; self-evaluation; moral development; emotion-cognition interactions; person perception; memory; implicit social cognition; motivation group processes; development of scientific thinking; language acquisition; category and conceptual development; development of mathematical reasoning; emotion regulation; emotional development; development of theory of mind; attitudes; executive function. V. Methodology: E. J. Wagenmakers (Volume Editor) Topics include hypothesis testing and statistical inference; model comparison in psychology; mathematical modeling in cognition and cognitive neuroscience; methods and models in categorization; serial versus parallel processing; theories for discriminating signal from noise; Bayesian cognitive modeling; response time modeling; neural networks and neurocomputational modeling; methods in psychophysics analyzing neural time series data; convergent methods of memory research; models and methods for reinforcement learning; cultural consensus theory; network models for clinical psychology; the stop-signal paradigm; fmri; neural recordings; open science.