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Detection Theory
Detection Theory is an introduction to one of the most important tools for analysis of data where choices must be made and performance is not perfect. Originally developed for evaluation of electronic detection, detection theory was adopted by psychologists as a way to understand sensory decision making, then embraced by students of human memory. It has since been utilized in areas as diverse as animal behavior and X-ray diagnosis. This book covers the basic principles of detection theory, with separate initial chapters on measuring detection and evaluating decision criteria. Some other features include: *complete tools for application, including flowcharts, tables, pointers, and software; *...
Haptics: Neuroscience, Devices, Modeling, and Applications
The two-volume set LNCS 8618 and 8619 constitutes the refereed proceedings of the 9th International Conference EuroHaptics 2014, held in Versailles, France, in June 2014. The 118 papers (36 oral presentations and 82 poster presentations) presented were carefully reviewed and selected from 183 submissions. Furthermore, 27 demos were exhibited, each of them resulting in a short paper included in the volumes. These proceedings reflect the multidisciplinary nature of EuroHaptics and cover topics such as human-computer interaction, human-robot interactions, neuroscience, perception and psychophysics, biomechanics and motor control, modelling and simulation; and a broad range of applications in medicine, rehabilitation, art, and design.
Computational Neuroscience
This volume includes papers originally presented at the 7th annual Computational Neuroscience Meeting (CNS'98) held in July of 1998 at the Fess Parker Doubletree Inn in Santa Barbara, California. The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches, and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.
Bayesian Models of Perception and Action
An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action. Many forms of perception and action can be mathematically modeled as probabilistic—or Bayesian—inference, a method used to draw conclusions from uncertain evidence. According to these models, the human mind behaves like a capable data scientist or crime scene investigator when dealing with noisy and ambiguous data. This textbook provides an approachable introduction to constructing and reasoning with probabilistic models of perceptual decision-making and action. Featuring extensive examples and illustrations, Bayesian Models of Perception and Action is the first textbook to teach this widely used computational framework to beginners. Introduces Bayesian models of perception and action, which are central to cognitive science and neuroscience Beginner-friendly pedagogy includes intuitive examples, daily life illustrations, and gradual progression of complex concepts Broad appeal for students across psychology, neuroscience, cognitive science, linguistics, and mathematics Written by leaders in the field of computational approaches to mind and brain
The Initiation of Sound Change
Examines advanced approaches to sound change from various theoretical and methodological perspectives, including articulatory variation and modeling, speech perception mechanisms and neurobiological processes, geographical and social variation, and diachronic phonology.
Paradigm uniformity in inflectional stems
What happens phonetically in the production of stems in words such as days and daze? Do inflectional stems differ phonetically from monomorphemic words? Can these differences be perceived? This volume aims to answer these questions in a replication project by investigating data from two corpora and a production experiment, as well as by extending this research with two perception experiments. It investigates what happens phonetically in the stems of words that end in homophonous suffixes, and whether listeners can perceive these subtle phonetic differences. Two potential effects were termed; categorical paradigm uniformity, in which stems of words ending in [s, z] are expected to have longer durations if these words are morphologically complex (e.g. days is longer than daze), as well as gradient paradigm uniformity, in which the frequency of related words is expected to have an influence on paradigm members (e.g. day influences days). Findings from these studies contribute to a growing body of research in the field of morphophonetics.
Voicing in Dutch
This volume focuses on the phonology, phonetics and psycholinguistics of voicing-related phenomena in Dutch. Dutch phonology has played a touchstone role in the past few decades where competing phonological theories regarding laryngeal representation have been concerned. Debates have focused on the phonetic facts (Is final neutralization complete or incomplete? Are the assimilation rules phonetic or phonological?) and the most adequate phonological analyses (Is [voice] a binary feature? What constraints are necessary? What is the best way of implementing the role of morphology?). This volume summarises and adds fuel to these debates on several fronts, by providing an overview of analyses so far (rule-based as well as constraint-based) and proposing a new one, by drawing attention to new facts, such as exceptions to final devoicing in certain dialects and the behaviour of loanwords, and by re-examining the phonetic state of affairs and the behaviour of voiced, voiceless and partially devoiced segments in psycholinguistic experiments.
