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Mathematical and statistical models have played important roles in neuroscience, especially by describing the electrical activity of neurons recorded individually, or collectively across large networks. As the field moves forward rapidly, new challenges are emerging. For maximal effectiveness, those working to advance computational neuroscience will need to appreciate and exploit the complementary strengths of mechanistic theory and the statistical paradigm.
Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.
Surveys the archaeology of food: its methods and its themes (economics, politics, status, identity, gender, ethnicity, ritual, religion).
This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
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This book reports on theoretical and experimental research answering key questions in neuroscience, philosophy of mind, and cognitive research. It gives a special emphasis on findings achieved within the territory of the former U.S.S.R, which has remained largely unknown to an international readership. The volume gathers authoritative studies on cognitive development, consciousness, attention and perception. It covers research on eye movements, language, speech and semantics, emotion, as well as brain functional states, and a variety of decision-making processes. It also highlights important advances in cognitive robotics and artificial intelligence, discussing brain-computer interfaces and ...
If you work with digital photos of manuscripts or archival materials, Among Digitized Manuscripts provides the conceptual and practical toolbox for you to create a state-of-the-art methodology and workflow. No previous computer knowledge is required.
Hazleton North is an Early Neolithic chambered long cairn of the Cotswold-Severn group, which was selected for total excavation between 1979 and 1982 after survey showed continued damage from ploughing. This trapezoidal long cairn is an example of the laterally-chambered type of tomb with two very similar L-shaped chambered areas near its centre, entered from opposite sides of the monument. Particular attention is given to two aspects which make Hazleton North of outstanding importance for the study of Neolithic chambered cairns in Britain: the details of the cairn construction and the burial remains. The account is supported by a full range of specialist studies, including analysis of the artefacts, human and animal bones, plant and molluscan remains, soils, geology, and numerous radiocarbon samples, and is concluded by a discussion of the results of the excavation and its significance for the study of Cotswold-Severn cairns and the earlier Neolithic of the region.