755 resultados para Peer Group Review
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This tutorial review details some of the recent advances in signal analyses applied to event-related potential (ERP) data. These "electrical neuroimaging" analyses provide reference-independent measurements of response strength and response topography that circumvent statistical and interpretational caveats of canonical ERP analysis methods while also taking advantage of the greater information provided by high-density electrode montages. Electrical neuroimaging can be applied across scales ranging from group-averaged ERPs to single-subject and single-trial datasets. We illustrate these methods with a tutorial dataset and place particular emphasis on their suitability for studies of clinical and/or developmental populations.
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Éditoral / Editorial
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This is one of a series of short case studies describing how academic tutors at the University of Southampton have made use of learning technologies to support their students.
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guidance notes on review and evaluation processes. Part of the total handin required See also http://www.edshare.soton.ac.uk/9937/ for use in context and http://www.edshare.soton.ac.uk/9911/ for the guidance on the critical friend review process
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Description of how to conduct a peer review, and guidance on how to submit it as a task. Download and edit this document if you decide to hand in information relating to your peer review exercise.
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READ the guidance notes, then attempt the tasks CONTENTS: Peer review guidance
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Recording of the Elsevier Author Seminar by Dr Anthony Newman and Michaela Kurschildgen.
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Description of how to conduct a peer review
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Resumen basado en el de la publicación
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Resumen tomado de la publicaci??n
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This paper discusses many of the issues associated with formally publishing data in academia, focusing primarily on the structures that need to be put in place for peer review and formal citation of datasets. Data publication is becoming increasingly important to the scientific community, as it will provide a mechanism for those who create data to receive academic credit for their work and will allow the conclusions arising from an analysis to be more readily verifiable, thus promoting transparency in the scientific process. Peer review of data will also provide a mechanism for ensuring the quality of datasets, and we provide suggestions on the types of activities one expects to see in the peer review of data. A simple taxonomy of data publication methodologies is presented and evaluated, and the paper concludes with a discussion of dataset granularity, transience and semantics, along with a recommended human-readable citation syntax.