[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Principles of Neural Science

Purpose This paper reviews 10 principles of experience-dependent neural plasticity and considerations in applying them to the damaged brain. Method Neuroscience research using a variety of models o...

https://www.jsmf.org/meetings/2008/may/Kleim%20&%20Jones%202008.pdf

Principles of Experience-Dependent Neural Plasticity: Implications for Rehabilitation After Brain Damage

http://www.cs.columbia.edu/~julia/papers/Scherer03.pdf

Vocal communication of emotion: a review of research paradigms

We introduce Deep Canonical Correlation Analysis (DCCA), a method to learn complex nonlinear transformations of two views of data such that the resulting representations are highly linearly correlated. Parameters of both transformations are jointly learned to maximize the (regularized) total correlation. It can be viewed as a nonlinear extension of the linear method canonical correlation analysis (CCA). It is an alternative to the nonparametric method kernel canonical correlation analysis (KCCA) for learning correlated nonlinear transformations. Unlike KCCA, DCCA does not require an inner product, and has the advantages of a parametric method: training time scales well with data size and the training data need not be referenced when computing the representations of unseen instances. In experiments on two real-world datasets, we find that DCCA learns representations with significantly higher correlation than those learned by CCA and KCCA. We also introduce a novel non-saturating sigmoid function based on the cube root that may be useful more generally in feedforward neural networks.

/pdf/deep-canonical-correlation-analysis-1222dun9hc.pdf

Deep Canonical Correlation Analysis

Introduction To The Study Of Speech Acoustics. The Acoustic Theory Of Speech Production. Introduction To The Acoustic Analysis Of Speech. The Acoustic Characteristics Of Vowels And Diphthongs. The Acoustic Characteristics Of Consonants. The Acoustic Correlates Of Speaker Characteristics. Suprasegmental Properties Of Speech. Speech Synthesis. Glossary. References.

The acoustic analysis of speech

Individuals with cerebral palsy (CP) have sensorimotor and developmental issues that affect their daily lives by restricting their mobility, manipulation of objects, and/or communication.1 Within the framework of the World Health Organization’s International Classification of Functioning, Disability and Health (ICF),2,3 the Gross Motor Function Classification System (GMFCS)4 and the Manual Ability Classification System (MACS) for children with CP5 make it possible to classify mobility and handling objects respectively, at the ICF activity/participation level.6 However, no analogous classification of functional communication has been available for use in CP practice and research. The lack of a communication classification tool that is quick, reliable, valid, and easy to use limits the comparison of descriptive CP epidemiology studies as well as the interpretation and generalizability of CP treatment studies.

Communication disorders can be described from several perspectives: body structure and function level, activity level, and participation level, as well as environmental and personal levels.2,3,7–13 Estimates of communication disorders in CP have varied from 31%14 to 88%.15 This wide range is partly a result of the lack of a consensus definition of communication disorders within CP research and practice. A recent study from a Norwegian CP registry reported that 51% of children with CP had speech problems as classified by ratings of ‘slightly indistinct’, ‘obviously indistinct’, ‘severely indistinct’, or ‘no speech’, including 19% who had ‘no speech’.16 This population-based estimate reporting indistinct or no speech may underestimate CP communication disorders as it may not capture other types of communication problems resulting from hearing or language impairments. However, reporting speech, language, and hearing difficulties simply suggests the range of associated impairments in CP, not the more pertinent daily-life issues of how well a child with CP communicates with family, friends, acquaintances, and strangers.13

The purpose of this study was to create and validate a communication function classification system (CFCS) for children with CP, for use by a wide variety of individuals interested in CP. This required a shift from the traditional focus on body structure and function (i.e. assessing components of speech, language, and hearing problems), to a focus on activity/participation, specifically the way in which to classify a person’s communication capacity within real-life situations.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1469-8749.2011.03996.x

Developing and validating the Communication Function Classification System for individuals with cerebral palsy

The measurement of intelligibility in dysarthric individuals is a major concern in clinical assessment and management and in research on dysarthria. The measurement objective is complicated by the ...

Toward Phonetic Intelligibility Testing in Dysarthria

The maximum performance tests of speech production are those tests that examine the upper limits of performance for selected speech tasks. Among the most commonly used maximum performance tests are the following: maximum duration of phonation, maximum fricative duration, maximum phonation volume, maximum expiratory pressure, fundamental frequency range, maximum sound pressure level, maximum occluding force of the articulators, and diadochokinetic (maximum repetition) rate. Many clinicians use at least some of these tasks as part of an assessment protocol. These tests are analogous to strength, range, or speed tests in clinical neurology. Given the widespread use of these tests and a rather scattered literature on normative values obtained for them, a survey of the data base seemed in order. This paper summarizes the published normative data, discusses the adequacy of these data for clinical application, and recommends interpretive guidelines to enhance the usefulness of maximum performance tests.

Maximum performance tests of speech production

Speech-language pathology relies on auditory-perceptual judgment as a central tool for classifying and measuring a variety of disorders of communication. Over the history of the field, a great deal...

http://people.umass.edu/mva/pdf/Kent%20article_96.pdf

Ray D. Kent

Papers

The acoustic analysis of speech

Developing and validating the Communication Function Classification System for individuals with cerebral palsy

Toward Phonetic Intelligibility Testing in Dysarthria

Maximum performance tests of speech production

Hearing and Believing