Computational Models of the Auditory System

Computational Models of the Auditory System
Title Computational Models of the Auditory System PDF eBook
Author Ray Meddis
Publisher Springer Science & Business Media
Pages 290
Release 2010-06-16
Genre Medical
ISBN 1441959343

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The Springer Handbook of Auditory Research presents a series of comprehensive and synthetic reviews of the fundamental topics in modern auditory research. The v- umes are aimed at all individuals with interests in hearing research including advanced graduate students, post-doctoral researchers, and clinical investigators. The volumes are intended to introduce new investigators to important aspects of hearing science and to help established investigators to better understand the fundamental theories and data in fields of hearing that they may not normally follow closely. Each volume presents a particular topic comprehensively, and each serves as a synthetic overview and guide to the literature. As such, the chapters present neither exhaustive data reviews nor original research that has not yet appeared in pe- reviewed journals. The volumes focus on topics that have developed a solid data and conceptual foundation rather than on those for which a literature is only beg- ning to develop. New research areas will be covered on a timely basis in the series as they begin to mature.

The Auditory System and Human Sound-Localization Behavior

The Auditory System and Human Sound-Localization Behavior
Title The Auditory System and Human Sound-Localization Behavior PDF eBook
Author John van Opstal
Publisher Academic Press
Pages 438
Release 2016-03-29
Genre Science
ISBN 0128017252

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The Auditory System and Human Sound-Localization Behavior provides a comprehensive account of the full action-perception cycle underlying spatial hearing. It highlights the interesting properties of the auditory system, such as its organization in azimuth and elevation coordinates. Readers will appreciate that sound localization is inherently a neuro-computational process (it needs to process on implicit and independent acoustic cues). The localization problem of which sound location gave rise to a particular sensory acoustic input cannot be uniquely solved, and therefore requires some clever strategies to cope with everyday situations. The reader is guided through the full interdisciplinary repertoire of the natural sciences: not only neurobiology, but also physics and mathematics, and current theories on sensorimotor integration (e.g. Bayesian approaches to deal with uncertain information) and neural encoding. - Quantitative, model-driven approaches to the full action-perception cycle of sound-localization behavior and eye-head gaze control - Comprehensive introduction to acoustics, systems analysis, computational models, and neurophysiology of the auditory system - Full account of gaze-control paradigms that probe the acoustic action-perception cycle, including multisensory integration, auditory plasticity, and hearing impaired

Auditory Signal Processing

Auditory Signal Processing
Title Auditory Signal Processing PDF eBook
Author Daniel Pressnitzer
Publisher Springer Science & Business Media
Pages 537
Release 2006-03-14
Genre Science
ISBN 0387270450

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This book contains the papers that were presented at the XIIIth International Symposium on Hearing (ISH), which was held in Dourdan, France, between August 24 and 29, 2003. From its first edition in 1969, the Symposium has had a distinguished tradition of bringing together auditory psychologists and physiologists. Hearing science now also includes computational modeling and brain imaging, and this is reflected in the papers collected. The rich interactions between participants during the meeting were yet another indication of the appositeness of the original idea to confront approaches around shared scientific issues. A total of 62 solicited papers are included, organized into 12 broad thematic areas ranging from cochlear signal processing to plasticity and perceptual learning. The themes follow the sessions and the chronological order of the paper presentations during the symposium. A notable feature of the ISH books is the transcription of the discussions between participants. A draft version of the book is circulated before the meeting, and all participants are invited to make written comments, before or during the presentations. This particularity is perhaps what makes the ISH book series so valuable as a truthful picture of the evolution of issues in hearing science. We tried to uphold this tradition, which was all the easier because of the excellent scientific content of the discussions.

Principles of Computational Modelling in Neuroscience

Principles of Computational Modelling in Neuroscience
Title Principles of Computational Modelling in Neuroscience PDF eBook
Author David Sterratt
Publisher Cambridge University Press
Pages 553
Release 2023-10-05
Genre Science
ISBN 1108483143

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Learn to use computational modelling techniques to understand the nervous system at all levels, from ion channels to networks.

Modelling Auditory Processing and Organisation

Modelling Auditory Processing and Organisation
Title Modelling Auditory Processing and Organisation PDF eBook
Author Martin Cooke
Publisher Cambridge University Press
Pages 142
Release 2005-02-17
Genre Computers
ISBN 9780521619387

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We are surrounded by noise; to separate the signals we want to hear from those we do not we have developed various strategies. Giving computers similar abilities would help develop devices such as intelligent hearing aids. This book reviews new and recent work on the modelling of auditory processes.

Computational Models of Brain and Behavior

Computational Models of Brain and Behavior
Title Computational Models of Brain and Behavior PDF eBook
Author Ahmed A. Moustafa
Publisher John Wiley & Sons
Pages 588
Release 2017-09-11
Genre Psychology
ISBN 1119159075

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A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

Sensory Cue Integration

Sensory Cue Integration
Title Sensory Cue Integration PDF eBook
Author Julia Trommershauser
Publisher Oxford University Press
Pages 461
Release 2011-09-21
Genre Psychology
ISBN 019987476X

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This book is concerned with sensory cue integration both within and between sensory modalities, and focuses on the emerging way of thinking about cue combination in terms of uncertainty. These probabilistic approaches derive from the realization that our sensors are noisy and moreover are often affected by ambiguity. For example, mechanoreceptor outputs are variable and they cannot distinguish if a perceived force is caused by the weight of an object or by force we are producing ourselves. The probabilistic approaches elaborated in this book aim at formalizing the uncertainty of cues. They describe cue combination as the nervous system's attempt to minimize uncertainty in its estimates and to choose successful actions. Some computational approaches described in the chapters of this book are concerned with the application of such statistical ideas to real-world cue-combination problems. Others ask how uncertainty may be represented in the nervous system and used for cue combination. Importantly, across behavioral, electrophysiological and theoretical approaches, Bayesian statistics is emerging as a common language in which cue-combination problems can be expressed.