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Essentials of Cognitive Neuroscience
Essentials of Cognitive Neuroscience guides undergraduate and early-stage graduate students with no previous neuroscientific background through the fundamental principles and themes in a concise, organized, and engaging manner. Provides students with the foundation to understand primary literature, recognize current controversies in the field, and engage in discussions on cognitive neuroscience and its future Introduces important experimental methods and techniques integrated throughout the text Assists student comprehension through four-color images and thorough pedagogical resources throughout the text Accompanied by a robust website with multiple choice questions, experiment vidoes, fMRI data, web links and video narratives from a global group of leading scientists for students. For Instructors there are sample syllabi and exam questions
An Update on Neurocognitive Impairment in Schizophrenia and Depression
Despite all research that has been devoted to schizophrenia over the last years, the understanding of the biological bases of the disorder is still fragmentary. Adding to the complexity is the realization that basic cognitive functions are seriously distorted, and that removal of symptoms does not necessarily ameliorate the cognitive deficits. It has also been shown that cognitive deficits can occur before clinical symptoms, in a prodromal phase of the disorder, pointing to a possible causal relationship between cognitive deficits and outbreak of the disorder. However, it is still not possible to diagnose a patient from cognitive deficits alone, or from a combination of clinical symptoms and...
Independent Component Analysis and Blind Signal Separation
This book constitutes the refereed proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2006, held in Charleston, SC, USA, in March 2006. The 120 revised papers presented were carefully reviewed and selected from 183 submissions. The papers are organized in topical sections on algorithms and architectures, applications, medical applications, speech and signal processing, theory, and visual and sensory processing.
Statistical Methods in Epilepsy
Epilepsy research promises new treatments and insights into brain function, but statistics and machine learning are paramount for extracting meaning from data and enabling discovery. Statistical Methods in Epilepsy provides a comprehensive introduction to statistical methods used in epilepsy research. Written in a clear, accessible style by leading authorities, this textbook demystifies introductory and advanced statistical methods, providing a practical roadmap that will be invaluable for learners and experts alike. Topics include a primer on version control and coding, pre-processing of imaging and electrophysiological data, hypothesis testing, generalized linear models, survival analysis,...
Brain Connectivity Analysis: Investigating Brain Disorders
In the last few years, advances in human structural and functional neuroimaging (fMRI, PET, EEG/MEG) have resulted in an explosion of studies investigating the anatomical and functional connectivity between different regions of the brain. More and more studies have employed resting and task-related connectivity analyses to assess functional interactions, and diffusion-weighted tractography to study white matter organization. Many of these studies have addressed normal human function, but recently, a number of investigators have turned their attention to examining brain disorders. The study of brain disorders is a complex endeavor; not only does it require understanding the normal brain, and ...
Signal Processing and Machine Learning Theory
Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc. - Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools - Presents core principles in signal processing theory and shows their applications - Discusses some emerging signal processing tools applied in machine learning methods - References content on core principles, technologies, algorithms and applications - Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge
Towards an Understanding of Tinnitus Heterogeneity
Tinnitus is the perception of a sound when no external sound is present. The severity of tinnitus varies but it can be debilitating for many patients. With more than 100 million people with chronic tinnitus worldwide, tinnitus is a disorder of high prevalence. The increased knowledge in the neuroscience of tinnitus has led to the emergence of promising treatment approaches, but no uniformly effective treatment for tinnitus has been identified. The large patient heterogeneity is considered to be the major obstacle for the development of effective treatment strategies against tinnitus. This eBook provides an inter- and multi-disciplinary collection of tinnitus research with the aim to better understand tinnitus heterogeneity and improve therapeutic outcomes.
The Safety and Efficacy of Noninvasive Brain Stimulation in Development and Neurodevelopmental Disorders
Noninvasive brain stimulation (including Transcranial Magnetic Stimulation (TMS) and Transcranial Current Brain Stimulation (TCS)) can be used both experimentally and therapeutically. In the experimental domain TMS can be applied in single pulses to depolarize a small population of neurons in a targeted brain region. This protocol can be used, for example, to map cortical motor outputs, study central motor conduction time, or evaluate the cortical silent period (a measure of intracortical inhibition) all of which are relevant to neurodevelopment. TMS can also be applied in pairs of pulses (paired pulse stimulation, ppTMS) where two pulses are presented in rapid succession to study intracorti...
The Reasoning Brain: The Interplay between Cognitive Neuroscience and Theories of Reasoning
Despite the centrality of rationality to our identity as a species (let alone the scientific endeavour), and the fact that it has been studied for several millennia, the present state of our knowledge of the mechanisms underlying logical reasoning remains highly fragmented. For example, a recent review concluded that none of the extant (12!) theories provide an adequate account (Khemlani & Johnson- Laird, 2011), while other authors argue that we are on the brink of a paradigm change, where the old binary logic framework will be washed away and replaced by more modern (and correct) probabilistic and Bayesian approaches (see for example Elqayam & Over, 2012; Oaksford & Chater, 2009; Over, 2009...
The Contribution of Postural Adjustments to Body Balance and Motor Performance
The control of balance by the central nervous system is crucial to maintain our posture and perform efficiently our daily motor tasks. This control requires the development of dynamical phenomena sub-served by highly-coordinated patterns of muscle activation/deactivation disseminated throughout the whole-body and called “postural adjustments”. Establishing the interaction between balance control, locomotion and cognition has important clinical implication, especially in term of falls prevention, and will improve our knowledge on the underlying neural correlates. This Research Topic provides an up-to-date picture of the relationship between postural adjustments, body balance and motor per...
