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Engineering - Computational Intelligence and Complexity | Human Paleoneurology

Human Paleoneurology

Bruner, Emiliano (Ed.)

2015, IX, 250 p. 79 illus., 50 illus. in color.

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  • A comprehensive book dedicated to Human Paleoneurology
  • Describes computer-based methods and concepts recently introduced in the field
  • Presents a multidisciplinary approach to paleoneurology
  • Edited and written by international experts in the fields of neuroscience and anthropology

The book presents an integrative review of paleoneurology, the study of endocranial morphology in fossil species. The main focus is on showing how computed methods can be used to support advances in evolutionary neuroanatomy, paleoanthropology and archaeology, and how they have contributed to creating a completely new perspective in cognitive neuroscience. Moreover, thanks to its multidisciplinary approach, the book addresses students and researchers approaching human paleoneurology from different angles and for different purposes, such as biologists, physicians, anthropologists, archaeologists and computer scientists. The individual chapters, written by international experts, represent authoritative reviews of the most important topics in the field. All the concepts are presented in an easy-to-understand style, making them accessible to university students, newcomers and also to anyone interested in understanding how methods like biomedical imaging, digital anatomy, and computed and multivariate morphometrics can be used for analyzing ontogenetic and phylogenetic changes according to the principles of functional morphology, morphological integration, and modularity.

Content Level » Research

Keywords » Brain Growth Patterns - Cognitive Archaeology - Computed Tomography - Computed-tools for Paleoneurology - Digital Anatomy - Endocranial Anatomy - Functional Craniology - Geometric Morphometrics - Human Brain Evolution - Virtual Endocasts

Related subjects » Anthropology & Archaeology - Bioinformatics - Biomedical Engineering - Computational Intelligence and Complexity - Internal Medicine - Neuroscience

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