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Neural Data Science
A Primer with MATLAB® and PythonTM present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner's introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility. - Includes discussions of both MATLAB and Python in parallel - Introduces the canonical data analysis cascade, standardizing the data analysis flow - Presents tactics that strategically, tactically, and algorithmically help improve the organization of code
Fundamentals of Data Science
Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes Readers wi...
The Cambridge Handbook of Computing Education Research
This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.
Games and Learning Alliance
This book constitutes the refereed proceedings of the 10th International Conference on Games and Learning Alliance, GALA 2021, held in La Spezia, Italy, in December 2021. The 21 full papers and 10 short papers were carefully reviewed and selected from 50 submissions. The papers cover a broad spectrum of topics: Serious Games Applications; Serious Game to Improve Literacy; Technology used for Serious Games; Serious Game Usage; Serious Games Design.Chapters “Cards and Roles: Co-designing Privacy Serious Games with an Online Role-Playing Boardgame" and “An Authoring Tool to Engage Younger Audiences in the Development of Nature Preservation Games: The G4N Toolkit to Game Design ” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
MATLAB for Brain and Cognitive Scientists
An introduction to a popular programming language for neuroscience research, taking the reader from beginning to intermediate and advanced levels of MATLAB programming. MATLAB is one of the most popular programming languages for neuroscience and psychology research. Its balance of usability, visualization, and widespread use makes it one of the most powerful tools in a scientist's toolbox. In this book, Mike Cohen teaches brain scientists how to program in MATLAB, with a focus on applications most commonly used in neuroscience and psychology. Although most MATLAB tutorials will abandon users at the beginner's level, leaving them to sink or swim, MATLAB for Brain and Cognitive Scientists take...
Who's who in Government
"Biographies of the outstanding men and women in every branch of our federal, state, county and municipal governments."--Pref.
MATLAB for Neuroscientists
MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addressed in a single programming environment. This updated edition features additional material on the creation of visual stimuli, advanced psychophysics, analysis of LFP data, choice probabilities, synchrony, a...
Case Studies in Neural Data Analysis
A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data. As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural data analysis techniques by presenting example datasets and developing techniques and tools for analyzing them. Each chapter begins with a specific example of neural data, which motivates mathematical and statistical analysis methods that are then applied to the data. This practical, hands-on approach is unique among data analysis textbooks and guides, and equips the reader with the tools necessary...
Employee-Driven Innovation
Presents research in Employee-Driven Innovation, an emergent field of study that meets the demand for exploiting new innovative potentials in organizations. There is a growing interest in creating new knowledge in innovation, emphasizing human resources and social processes. The authors intend to take the global lead in research on these areas.
Making Meaning
“ We’re now hip-deep, if not drowning, in the ‘experience economy.‘ Here‘s the smartest book I‘ve read so far that can actually help get your brand to higher ground, fast. And it‘s written by people who not only drew the map, but blazed these trails in the first place.” –Brian Collins, Executive Creative Director, Ogilvy & Mather Worldwide Brand Integration Group In a market economy characterized by commoditized products and global competition, how do companies gain deep and lasting loyalty from their customers? The key, this book argues, is in providing meaningful customer experiences. Writing in the tradition of Louis Cheskin, one of the founding fathers of market researc...
