Recalibrating Reform

Recalibrating Reform
Author: Stuart Chinn
Publisher: Cambridge University Press
Total Pages: 357
Release: 2014-04-21
Genre: Political Science
ISBN: 1139868276

Some of the most important eras of reform in US history reveal a troubling pattern: often reform is compromised after the initial legislative and judicial victories have been achieved. Thus Jim Crow racial exclusions followed Reconstruction; employer prerogatives resurged after the passage of the Wagner Act in 1935; and after the civil rights reforms of the mid-twentieth century, principles of color-blindness remain dominant in key areas of constitutional law that allow structural racial inequalities to remain hidden or unaddressed. When momentous reforms occur, certain institutions and legal rights will survive the disruption and remain intact, just in different forms. Thus governance in the post-reform period reflects a systematic recalibration or reshaping of the earlier reforms as a result of the continuing influence and power of such resilient institutions and rights. Recalibrating Reform examines this issue and demonstrates the pivotal role of the Supreme Court in post-reform recalibration.

The Neural Bases of Multisensory Processes

The Neural Bases of Multisensory Processes
Author: Micah M. Murray
Publisher: CRC Press
Total Pages: 786
Release: 2011-08-25
Genre: Medical
ISBN: 1439812195

It has become accepted in the neuroscience community that perception and performance are quintessentially multisensory by nature. Using the full palette of modern brain imaging and neuroscience methods, The Neural Bases of Multisensory Processes details current understanding in the neural bases for these phenomena as studied across species, stages

Multisensory Processes

Multisensory Processes
Author: Adrian K. C. Lee
Publisher: Springer
Total Pages: 281
Release: 2019-03-08
Genre: Medical
ISBN: 3030104613

Auditory behavior, perception, and cognition are all shaped by information from other sensory systems. This volume examines this multi-sensory view of auditory function at levels of analysis ranging from the single neuron to neuroimaging in human clinical populations. Visual Influence on Auditory Perception Adrian K.C. Lee and Mark T. Wallace Cue Combination within a Bayesian Framework David Alais and David Burr Toward a Model of Auditory-Visual Speech Intelligibility Ken W. Grant and Joshua G. W. Bernstein An Object-based Interpretation of Audiovisual Processing Adrian K.C. Lee, Ross K. Maddox, and Jennifer K. Bizley Hearing in a “Moving” Visual World: Coordinate Transformations Along the Auditory Pathway Shawn M. Willett, Jennifer M. Groh, Ross K. Maddox Multisensory Processing in the Auditory Cortex Andrew J. King, Amy Hammond-Kenny, Fernando R. Nodal Audiovisual Integration in the Primate Prefrontal Cortex Bethany Plakke and Lizabeth M. Romanski Using Multisensory Integration to Understand Human Auditory Cortex Michael S. Beauchamp Combining Voice and Face Content in the Primate Temporal Lobe Catherine Perrodin and Christopher I. Petkov Neural Network Dynamics and Audiovisual Integration Julian Keil and Daniel Senkowski Cross-Modal Learning in the Auditory System Patrick Bruns and Brigitte Röder Multisensory Processing Differences in Individuals with Autism Spectrum Disorder Sarah H. Baum Miller, Mark T. Wallace Adrian K.C. Lee is Associate Professor in the Department of Speech & Hearing Sciences and the Institute for Learning and Brain Sciences at the University of Washington, Seattle Mark T. Wallace is the Louise B McGavock Endowed Chair and Professor in the Departments of Hearing and Speech Sciences, Psychiatry, Psychology and Director of the Vanderbilt Brain Institute at Vanderbilt University, Nashville Allison B. Coffin is Associate Professor in the Department of Integrative Physiology and Neuroscience at Washington State University, Vancouver, WA Arthur N. Popper is Professor Emeritus and research professor in the Department of Biology at the University of Maryland, College Park Richard R. Fay is Distinguished Research Professor of Psychology at Loyola University, Chicago

Cross-Modal Learning: Adaptivity, Prediction and Interaction

Cross-Modal Learning: Adaptivity, Prediction and Interaction
Author: Jianwei Zhang
Publisher: Frontiers Media SA
Total Pages: 295
Release: 2023-02-02
Genre: Science
ISBN: 2889762548

The purpose of this Research Topic is to reflect and discuss links between neuroscience, psychology, computer science and robotics with regards to the topic of cross-modal learning which has, in recent years, emerged as a new area of interdisciplinary research. The term cross-modal learning refers to the synergistic synthesis of information from multiple sensory modalities such that the learning that occurs within any individual sensory modality can be enhanced with information from one or more other modalities. Cross-modal learning is a crucial component of adaptive behavior in a continuously changing world, and examples are ubiquitous, such as: learning to grasp and manipulate objects; learning to walk; learning to read and write; learning to understand language and its referents; etc. In all these examples, visual, auditory, somatosensory or other modalities have to be integrated, and learning must be cross-modal. In fact, the broad range of acquired human skills are cross-modal, and many of the most advanced human capabilities, such as those involved in social cognition, require learning from the richest combinations of cross-modal information. In contrast, even the very best systems in Artificial Intelligence (AI) and robotics have taken only tiny steps in this direction. Building a system that composes a global perspective from multiple distinct sources, types of data, and sensory modalities is a grand challenge of AI, yet it is specific enough that it can be studied quite rigorously and in such detail that the prospect for deep insights into these mechanisms is quite plausible in the near term. Cross-modal learning is a broad, interdisciplinary topic that has not yet coalesced into a single, unified field. Instead, there are many separate fields, each tackling the concerns of cross-modal learning from its own perspective, with currently little overlap. We anticipate an accelerating trend towards integration of these areas and we intend to contribute to that integration. By focusing on cross-modal learning, the proposed Research Topic can bring together recent progress in artificial intelligence, robotics, psychology and neuroscience.

Recalibrate Your Life

Recalibrate Your Life
Author: Kenneth Boa
Publisher: InterVarsity Press
Total Pages: 155
Release: 2023-02-21
Genre: Religion
ISBN: 1514000733

Times of transition, especially in midlife or later life, are ideal moments for recalibrating our priorities and habits. Ken Boa and Jenny Abel give us the practical tools and eternal perspective needed to evaluate our God-given gifts, skills, wisdom, resources, and opportunities in order to live meaningfully now and into the future.

The Role of Letter-Speech Sound Integration in Typical and Atypical Reading Development

The Role of Letter-Speech Sound Integration in Typical and Atypical Reading Development
Author: Jurgen Tijms
Publisher: Frontiers Media SA
Total Pages: 249
Release: 2020-07-24
Genre:
ISBN: 2889636984

Fluency is the quintessence of effective reading. To obtain socio-economic success, fluent reading is of primordial importance and reading is considered a crucial marker of an individual’s life course. Approximately 5% of children are affected by developmental dyslexia, exhibiting inaccurate word recognition, spelling, phonological decoding, and most importantly, severely dysfluent reading, which remains as their most characterizing and persistent deficit. Unable to attain society’s literacy demands, individuals with dyslexia are at severe risk for adverse academic, economic, and psychosocial consequences. Recently, it has been posed that the development of automatic letter-speech sound (LSS) integration is critical in the acquisition of fluent reading skills, and in particular that a failure to develop automatic LSS integration results in an impairment of reading fluency. In support, neurocognitive research has suggested that the development of automatized processing of LSS associations is an essential step in the formation of a functional neural network for reading. Furthermore, both neurocognitive and behavioural studies have suggested a less efficient LSS integration in children with dyslexia than in typical readers. Finally, results from intervention studies have suggested that training LSS might be a promising approach to ameliorate dysfluent reading in children with dyslexia. Nonetheless, there is still a considerable gap of knowledge in our understanding of the mechanisms by which learning LSS associations relate to (dys)fluent reading.