By Gerard A. Kerkhof and Hans P.A. van Dongen (Eds.)
This quantity specializes in the interaction of brain and movement - the bidirectional hyperlink among inspiration and motion. specifically, it investigates the consequences that this coupling has for selection making. How will we count on the results of decisions and the way is the mind capable of signify those selection innovations and their strength effects? How are various innovations evaluated and the way is a well-liked choice chosen and applied? This quantity addresses those questions not just via an intensive physique of data including person chapters by means of overseas specialists, but additionally via integrative team studies that pave a runway into the longer term. the certainty of ways humans make judgements is of universal curiosity to specialists operating in fields reminiscent of psychology, economics, flow technology, cognitive neuroscience, neuroinformatics, robotics, and game technology. up to now, even though, it has customarily been complex in isolation inside of certain examine disciplines; by contrast, this booklet effects from a planned meeting of multidisciplinary groups. It deals severe, concentrated, and actual interdisciplinary viewpoint. It conveys state of the art and descriptions destiny study instructions at the scorching subject of brain and movement (or embodied cognition). It contains contributions from psychologists, neuroscientists, circulation scientists, economists, and others.
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Extra resources for Human Sleep and Cognition, Part 1: Basic Research
Some of the component processes involved in a task may be more affected by sleep deprivation than others. Thus, interpreting measures of overall performance without consideration of the specific task requirements can lead to misleading conclusions. Using examples from studies of attention, working memory and executive functioning, we demonstrate the importance of analysing how different task components contribute to performance and how the nature of the stimulus content can influence outcomes of sleep deprivation studies.
Kamphuisen, H. A. C. (1995). Age and gender affect different characteristics of slow-waves in the sleep EEG. Sleep, 18, 557–564. , & Kales, A. (1968). A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects. S. National Institute of Neurological Diseases and Blindness, Neurological Information Network, Publication no. ). , Llinas, R. , Lopes da Silva, F. , & Mesulam, M. M. (1990). Basic mechanisms of cerebral rhythmic activities. Electroencephalography and Clinical Neurophysiology, 76, 481–508.
Therefore, measuring the rhythmic amplitude as in Figs. 1 and 5 is indeed useful for tracking these sleep processes. However, EEG amplitude is also affected by many nonsleep-related factors such as artefacts, anatomy, external neuronal drive and electrode distance. Neuro-loop analysis specifically measures only the sleep-related loop gain, independent of the amplitude of the rhythms. , 2000). A resonance filter constantly tracks the rhythmic component of the recorded EEG. Between consecutive EEG samples (that is during a few milliseconds), the filter keeps swinging undamped and at the same frequency.