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"The careful design of experiments lies at the core of good research. Experimental Design for the Life Sciences equips you with the skills you need to effectively design experiments, making this essential aspect of the research process readily understandable. It demonstrates how good experimental design relies on clear thinking and biological understanding, not mathematical or statistical complexity." -- Back cover.

Life sciences --- Experimental design --- Sciences de la vie --- Plan d'expérience --- Experiments --- Expériences --- Experimental design. --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Biosciences --- Sciences, Life --- Experiments. --- Methodology --- 57.082 --- 57.082 Laboratory and museum techniques and equipment for plant and animal specimens and collections --- Laboratory and museum techniques and equipment for plant and animal specimens and collections --- Plan d'expérience. --- Expériences. --- Plan d'expérience. --- Expériences.

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"Studies of the evolution of animal signals and sensory behaviour have more recently shifted from considering 'extrinsic' (environmental) determinants to 'intrinsic' (physiological) ones. The drive behind this change has been the increasing availability of neural network models. With contributions from experts in the field, this book provides a complete survey of artificial neural networks. The book opens with two broad, introductory level reviews on the themes of the book: neural networks as tools to explore the nature of perceptual mechanisms, and neural networks as models of perception in ecology and evolutionary biology. Later chapters expand on these themes and address important methodological issues when applying artificial neural networks to study perception. The final chapter provides perspective by introducing a neural processing system in a real animal. The book provides the foundations for implementing artificial neural networks, for those new to the field, along with identifying potential research areas for specialists"--

Perception --- Neural networks (Computer science) --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Supraliminal perception --- Cognition --- Apperception --- Senses and sensation --- Thought and thinking --- Computer simulation.

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Animals.

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Animal-plant relationships --- Plant physiology --- Biological evolution

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R (Computer program language) --- File organization (Computer science) --- Information visualization. --- Data Visualization. --- Data Analysis. --- Fichiers (informatique) --- Data visualisation. --- Analyse des données. --- Organisation. --- R