Matt Carter – författare

Designing Science Presentations guides researchers and graduate students of virtually any discipline in the creation of compelling science communication. Most scientists never receive formal training in the creation, delivery, and evaluation of such material, yet it is essential for publishing in high-quality journals, soliciting funding, attracting lab personnel, and advancing a career.

This clear, readable volume fills that gap and provides visually intensive guidance at every step-from the construction of original figures to the presentation and delivery of those figures in papers, slideshows, posters, and websites. It provides pragmatic advice on the preparation and delivery of exceptional scientific presentations; demonstrates hundreds of visually striking presentation techniques, giving readers inspiration for creating their own; and is structured so that readers can easily find answers to particular questions.

Clear heading for each section indicates its message, highlighted with graphic illustrations Two summary paragraphs that complement the visual images and clearly discuss the main point Numerous examples of high-quality figures, page layouts, slides, posters, and web pages to help stimulate readers' ideas for their own presentations Numerous "before and after" examples to illustrate the contrast between poor and outstanding presentations

Neuroscience is, by definition, a multidisciplinary field: some scientists study genes and proteins at the molecular level while others study neural circuitry using electrophysiology and high-resolution optics. A single topic can be studied using techniques from genetics, imaging, biochemistry, or electrophysiology. Therefore, it can be daunting for young scientists or anyone new to neuroscience to learn how to read the primary literature and develop their own experiments.

This volume addresses that gap, gathering multidisciplinary knowledge and providing tools for understanding the neuroscience techniques that are essential to the field, and allowing the reader to design experiments in a variety of neuroscience disciplines.

Written to provide a "hands-on" approach for graduate students, postdocs, or anyone new to the neurosciences Techniques within one field are compared, allowing readers to select the best techniques for their own work Includes key articles, books, and protocols for additional detailed study Data analysis boxes in each chapter help with data interpretation and offer guidelines on how best to represent results Walk-through boxes guide readers step-by-step through experiments

Designing Science Presentations: A Visual Guide to Figures, Papers, Slides, Posters, and More, Second Edition, guides scientists of any discipline in the design of compelling science communication. Most scientists never receive formal training in the design, delivery and evaluation of scientific communication, yet these skills are essential for publishing in high-quality journals, soliciting funding, attracting lab personnel, and advancing a career. This clear, readable volume fills that gap, providing visually intensive guidance at every step-from the construction of original figures to the presentation and delivery of those figures in papers, slideshows, posters and websites.

The book provides pragmatic advice on the preparation and delivery of exceptional scientific presentations and demonstrates hundreds of visually striking presentation techniques.

Features clear headings for each section, indicating its message with graphic illustrations Provides clear and concise explanations of design principles traditionally taught in design or visualization courses Includes examples of high-quality figures, page layouts, slides, posters and webpages to aid readers in creating their own presentations Includes numerous "before and after" examples to illustrate the contrast between poor and outstanding presentations

Modern neuroscience research is inherently multidisciplinary, with a wide variety of cutting edge new techniques to explore multiple levels of investigation. This Third Edition of Guide to Research Techniques in Neuroscience provides a comprehensive overview of classical and cutting edge methods including their utility, limitations, and how data are presented in the literature. This book can be used as an introduction to neuroscience techniques for anyone new to the field or as a reference for any neuroscientist while reading papers or attending talks.

Nearly 200 updated full-color illustrations to clearly convey the theory and practice of neuroscience methods Expands on techniques from previous editions and covers many new techniques including in vivo calcium imaging, fiber photometry, RNA-Seq, brain spheroids, CRISPR-Cas9 genome editing, and more Clear, straightforward explanations of each technique for anyone new to the field A broad scope of methods, from noninvasive brain imaging in human subjects, to electrophysiology in animal models, to recombinant DNA technology in test tubes, to transfection of neurons in cell culture Detailed recommendations on where to find protocols and other resources for specific techniques "Walk-through" boxes that guide readers through experiments step-by-step

This book is a concise, easy-to read guide to a selection of the most important contemporary electrophysiological techniques, their implementation, applications, and ways in which they can be combined and integrated with related neuroscience techniques. It is intended for students, postdocs and faculty with a basic neuroscience background, so does not obscure the relevant technical details with textbook neuroscience tutorials as many other books do. Each chapter provides a concise overview of the underlying theory, a comprehensive description of equipment, materials, methods, data management and analysis, a troubleshooting guide, and a list of frequently asked questions. No book or online resource can function as a strictly DIY set of instructions on how to implement a complex technique. However, this book provides a fundamental and accessible set of information intended to form a foundation prior to, during, and after hands-on experience and training, greatly facilitating the initial learning process and subsequent fine-tuning of technical details.

Could a computer have a mind? What kind of machine would this be? Exactly what do we mean by ‘mind’ anyway?The notion of the ‘intelligent’ machine, whilst continuing to feature in numerous entertaining and frightening fictions, has also been the focus of a serious and dedicated research tradition. Reflecting on these fictions, and on the research tradition that pursues ‘Artificial Intelligence’, raises a number of vexing philosophical issues. Minds and Computers introduces readers to these issues by offering an engaging, coherent, and highly approachable interdisciplinary introduction to the Philosophy of Artificial Intelligence. Readers are presented with introductory material from each of the disciplines which constitute Cognitive Science: Philosophy, Neuroscience, Psychology, Computer Science, and Linguistics. Throughout, readers are encouraged to consider the implications of this disparate and wide-ranging material for the possibility of developing machines with minds. And they can expect to develop a foundation for philosophically responsible engagement with A.I., a sound understanding of Philosophy of Mind and of computational theory, and a good feel for cross-disciplinary analysis.Features:*A solid foundation in the Philosophy of Mind*A broadly interdisciplinary purview*A directed philosophical focus*A clear and accessible explanation of technical material with abundant exercises*A glossary of terms

Could a computer have a mind? What kind of machine would this be? Exactly what do we mean by ‘mind’ anyway?The notion of the ‘intelligent’ machine, whilst continuing to feature in numerous entertaining and frightening fictions, has also been the focus of a serious and dedicated research tradition. Reflecting on these fictions, and on the research tradition that pursues ‘Artificial Intelligence’, raises a number of vexing philosophical issues. Minds and Computers introduces readers to these issues by offering an engaging, coherent, and highly approachable interdisciplinary introduction to the Philosophy of Artificial Intelligence. Readers are presented with introductory material from each of the disciplines which constitute Cognitive Science: Philosophy, Neuroscience, Psychology, Computer Science, and Linguistics. Throughout, readers are encouraged to consider the implications of this disparate and wide-ranging material for the possibility of developing machines with minds. And they can expect to develop a foundation for philosophically responsible engagement with A.I., a sound understanding of Philosophy of Mind and of computational theory, and a good feel for cross-disciplinary analysis.Features:*A solid foundation in the Philosophy of Mind*A broadly interdisciplinary purview*A directed philosophical focus*A clear and accessible explanation of technical material with abundant exercises*A glossary of terms