python-for-experimental-psychologists

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Python For Experimental Psychologists

Author : Edwin S. Dalmaijer
ISBN : 9781317206439
Genre : Psychology
File Size : 64. 36 MB
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Programming is an important part of experimental psychology and cognitive neuroscience, and Python is an ideal language for novices. It sports a very readable syntax, intuitive variable management, and a very large body of functionality that ranges from simple arithmetic to complex computing. Python for Experimental Psychologists provides researchers without prior programming experience with the knowledge they need to independently script experiments and analyses in Python. The skills it offers include: how to display stimuli on a computer screen; how to get input from peripherals (e.g. keyboard, mouse) and specialised equipment (e.g. eye trackers); how to log data; and how to control timing. In addition, it shows readers the basic principles of data analysis applied to behavioural data, and the more advanced techniques required to analyse trace data (e.g. pupil size) and gaze data. Written informally and accessibly, the book deliberately focuses on the parts of Python that are relevant to experimental psychologists and cognitive neuroscientists. It is also supported by a companion website where you will find colour versions of the figures, along with example stimuli, datasets and scripts, and a portable Windows installation of Python.

Programming Experiments In Python

Author : Jonathan Peirce
ISBN : 1473991404
Genre :
File Size : 24. 85 MB
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Python is a free, open-source, cross-platform programming language that allows a great deal to be accomplished in very few lines of code. As well as having a powerful, flexible syntax, Python can interface easily with other libraries and hardware on any computer system, making it ideal for interacting with additional devices hardware (e.g. for fMRI, EEG, eye tracking etc.). Python has become the go-to language for a wide variety of behavioural science studies and experiments. Aimed at advanced undergraduate students, postgraduate students and professional scientists, this textbook provides a comprehensive guide to enable readers to write experiments in Python, or using Python within PsychoPy. This text offers a more advanced guide to developing psychological experiments in Python and can be used as a guide to using software and hardware together - for example, programming a psychological experiment using eye tracking software or EEG systems. Highly practical in nature, the book shows how to programme one full experiment and how to analyse data and scripting. Read together with Building Experiments in PsychoPy, this text is designed to support students who are familiar with PsychoPy and how want to progress into programming in the original software package Python (on which PsychoPy is built). It will help advanced students to programme directly in Python and support them when they use hardware in their experiments, and it particularly suited to those students programming experiments in cognitive psychology and neuroscience.

Building Experiments In Psychopy

Author : Jonathan Peirce
ISBN : 9781526418142
Genre : Psychology
File Size : 87. 15 MB
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PsychoPy is an open-source (free) software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. It provides an intuitive graphical interface (the “Builder”) as well as the option to insert Python code. This combination makes it easy enough for teaching, but also flexible enough for all manner of behavioural experiments. As a result, PsychoPy has become the software package of choice in psychology departments at universities all over the world. Divided into three parts and with unique learning features to guide readers at whatever level they are at, this textbook is suitable for teaching practical undergraduate classes on research methods, or as a reference text for the professional scientist. The book is written by Jonathan Peirce, the original creator of PsychoPy and Michael MacAskill who have utilised their breadth of experience in Python development to educate students and researchers in this intuitive, yet powerful, experiment generation package.

Handbook Of Research On Educational Communications And Technology

Author : David Jonassen
ISBN : 9781135596910
Genre : Education
File Size : 54. 53 MB
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First Published in 2008. Routledge is an imprint of Taylor & Francis, an informa company.

Stevens Handbook Of Experimental Psychology And Cognitive Neuroscience Methodology

Author :
ISBN : 9781119170150
Genre : Psychology
File Size : 66. 8 MB
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V. Methodology: E. J. Wagenmakers (Volume Editor) Topics covered include methods and models in categorization; cultural consensus theory; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning; convergent methods of memory research; theories for discriminating signal from noise; bayesian cognitive modeling; mathematical modeling in cognition and cognitive neuroscience; the stop-signal paradigm; hypothesis testing and statistical inference; model comparison in psychology; fmri; neural recordings; open science; neural networks and neurocomputational modeling; serial versus parallel processing; methods in psychophysics.

Remembering

Author : Sir Frederic Charles Bartlett
ISBN : 0521483565
Genre : Psychology
File Size : 71. 45 MB
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This is a timely reissue of this influential 1932 study of remembering.

Psychopy

Author : Jesse Russell
ISBN : 5511942413
Genre :
File Size : 62. 80 MB
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High Quality Content by WIKIPEDIA articles! PsychoPy is an open source software package, written in Python programming language, for the generation of experiments for neuroscience and experimental psychology .

Modeling Techniques In Predictive Analytics With Python And R

Author : Thomas W. Miller
ISBN : 9780133892147
Genre : Computers
File Size : 81. 77 MB
Format : PDF
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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Readings In Experimental Psychology Today

Author : Norman T. Adler
ISBN : UOM:39015002824194
Genre : Psychology, Experimental
File Size : 37. 3 MB
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Programming Visual Illusions For Everyone

Author : Marco Bertamini
ISBN : 9783319640662
Genre : Technology & Engineering
File Size : 35. 66 MB
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If you find visual illusions fascinating Programming Visual Illusions for Everyone is a book for you. It has some background, some history and some theories about visual illusions, and it describes in some detail twelve illusions. Some are about surfaces, some are about apparent size of objects, some are about colour and some involve movement. This is only one aspect of the book. The other is to show you how you can create these effects on any computer. The book includes a brief introduction to a powerful programming language called Python. No previous experience with programming is necessary. There is also an introduction to a package called PsychoPy that makes it easy to draw on a computer screen. It is perfectly ok if you have never heard the names Python or PsychoPy before. Python is a modern and easy-to-read language, and PsychoPy takes care of all the graphical aspects of drawing on a screen and also interacting with a computer. By the way, both Python and PsychoPy are absolutely free. Is this a book about illusions or about programming? It is both!

Rationality And Logic

Author : Robert Hanna
ISBN : 9780262263115
Genre : Philosophy
File Size : 56. 74 MB
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An argument that logic is intrinsically psychological and human psychology is intrinsically logical, and that the connection between human rationality and logic is both constitutive and mutual. In Rationality and Logic, Robert Hanna argues that logic is intrinsically psychological and that human psychology is intrinsically logical. He claims that logic is cognitively constructed by rational animals (including humans) and that rational animals are essentially logical animals. In order to do so, he defends the broadly Kantian thesis that all (and only) rational animals possess an innate cognitive "logic faculty." Hanna's claims challenge the conventional philosophical wisdom that sees logic as a fully formal or "topic-neutral" science irreconcilably separate from the species- or individual-specific focus of empirical psychology.Logic and psychology went their separate ways after attacks by Frege and Husserl on logical psychologism—the explanatory reduction of logic to empirical psychology. Hanna argues, however, that—despite the fact that logical psychologism is false—there is an essential link between logic and psychology. Rational human animals constitute the basic class of cognizers or thinkers studied by cognitive psychology; given the connection between rationality and logic that Hanna claims, it follows that the nature of logic is significantly revealed to us by cognitive psychology. Hanna's proposed "logical cognitivism" has two important consequences: the recognition by logically oriented philosophers that psychologists are their colleagues in the metadiscipline of cognitive science; and radical changes in cognitive science itself. Cognitive science, Hanna argues, is not at bottom a natural science; it is both an objective or truth-oriented science and a normative human science, as is logic itself.

Crime And Canadian Public Policy

Author : James C. Hackler
ISBN : 0135124298
Genre : Crime
File Size : 76. 18 MB
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Python Deep Learning Projects

Author : Matthew Lamons
ISBN : 9781789134759
Genre : Computers
File Size : 53. 77 MB
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Insightful projects to master deep learning and neural network architectures using Python and Keras Key Features Explore deep learning across computer vision, natural language processing (NLP), and image processing Discover best practices for the training of deep neural networks and their deployment Access popular deep learning models as well as widely used neural network architectures Book Description Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier. Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You’ll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system. Similarly, you’ll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you’ll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects. By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way What you will learn Set up a deep learning development environment on Amazon Web Services (AWS) Apply GPU-powered instances as well as the deep learning AMI Implement seq-to-seq networks for modeling natural language processing (NLP) Develop an end-to-end speech recognition system Build a system for pixel-wise semantic labeling of an image Create a system that generates images and their regions Who this book is for Python Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects. It is assumed that you have sound knowledge of Python programming

Bibliographic Guide To Psychology

Author : New York Public Library. Research Libraries
ISBN : STANFORD:36105026193255
Genre : Occultism
File Size : 41. 72 MB
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Canadian Criminology

Author : James C. Hackler
ISBN : 0130427942
Genre : Crime
File Size : 24. 75 MB
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Appropriate for introductory criminology and criminology theory course taught at universities and colleges across Canada. Canadian Criminology: Strategies and Perspectives takes a critical ideological approach to the study of criminology. The major strengths of this text are its breadth of Canadian content and its inclusion of cross-cultural comparisons. The text incorporates both "empirical" and "radical" approaches to understanding and reducing crime. The third edition of Canadian Criminology: Strategies and Perspectives incorporates numerous changes, including updated statistics, a more in depth coverage of gender and radical criminology, as well as more material on restorative justice. The new edition has been restructured, now including 18 chapters and new pedagogical features within each chapter.

Information Systems And Neuroscience

Author : Fred D. Davis
ISBN : 9783030281441
Genre : Computers
File Size : 44. 16 MB
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This book presents the proceedings of the NeuroIS Retreat 2019, held on June 4–6 in Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Featuring the latest findings from top scholars in the field, it offers detailed insights into the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as applying neuroscience and neurophysiological to advance IS theory.

Eeg Methods For The Psychological Sciences

Author : Cheryl L Dickter
ISBN : 9781446296745
Genre : Psychology
File Size : 78. 26 MB
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"A unique and important resource, full of critical practical knowledge and technical details made readily accessible." - Tiffany Ito, University of Colorado at Boulder "A comprehensive and engaging guide to EEG methods in social neuroscience; Dickter and Kiefabber offer practical details for conducting EEG research in a social/personality lab, with a broad perspective on how neuroscience can inform psychology. This is a unique and invaluable resource - a must-have for scientists interested in the social brain." - David M. Amodio, New York University Electroencephalography (EEG) has seen a dramatic increase in application as a research tool in the psychological sciences in recent years. This book provides an introduction to the technology and techniques of EEG in the context of social and cognitive neuroscience research that will appeal to investigators (students or researchers) wishing to broaden their research aims to include EEG, and to those already using EEG but wishing to expand their analytic repertoire. It can also serve as a textbook for a postgraduate course or upper-level undergraduate course in any area of behavioural neuroscience. The book provides an introduction to the theory, technology, and techniques of EEG data analysis along with the practical skills required to engage this popular technology. Beginning with a background in the neural origins and physical principles involved in recording EEG, readers will also find discussions of practical considerations regarding the recording of EEG in humans as well as tips for the configuration of an EEG laboratory. The analytic methods covered include event-related brain potentials (ERPs), spectral asymmetry, and time-frequency analyses. A conceptual background and review of domain-specific applications of the method is provided for each type of analysis. There's also comprehensive guided analysis for each analytic method that includes tutorial-style instruction and sample datasets. This book is perfect for advanced students and researchers in the psychological sciences and related disciplines who are using EEG in their research.

Python

Author : Denis Rothman
ISBN : 178995732X
Genre : Computers
File Size : 49. 79 MB
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Develop real-world applications powered by the latest advances in intelligent systems Key Features Gain real-world contextualization using deep learning problems concerning research and application Get to know the best practices to improve and optimize your machine learning systems and algorithms Design and implement machine intelligence using real-world AI-based examples Book Description This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. You will be introduced to various machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. You will learn to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open-source Python libraries. Throughout the Learning Path, you'll learn how to develop deep learning applications for machine learning systems. Discover how to attain deep learning programming on GPU in a distributed way. By the end of this Learning Path, you know the fundamentals of AI and have worked through a number of case studies that will help you apply your skills to real-world projects. This Learning Path includes content from the following Packt products: Artificial Intelligence By Example by Denis Rothman Python Deep Learning Projects by Matthew Lamons, Rahul Kumar, and Abhishek Nagaraja Hands-On Artificial Intelligence with TensorFlow by Amir Ziai, Ankit Dixit What you will learn Use adaptive thinking to solve real-life AI case studies Rise beyond being a modern-day factory code worker Understand future AI solutions and adapt quickly to them Master deep neural network implementation using TensorFlow Predict continuous target outcomes using regression analysis Dive deep into textual and social media data using sentiment analysis Who this book is for This Learning Path is for anyone who wants to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. You will learn to extend your machine learning and deep learning knowledge by creating practical AI smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this Learning Path.

Current Index To Journals In Education

Author :
ISBN : PSU:000068678708
Genre : Education
File Size : 83. 63 MB
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Serves as an index to Eric reports [microform].

Tigerpaper

Author :
ISBN : WISC:89122314024
Genre : National parks and reserves
File Size : 72. 46 MB
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