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PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this book walks you through the steps of building experiments in PsychoPy, from using images to discovering lesser-known features, and from analysing data to debugging your experiment. Divided into three parts and with unique extension exercises to guide you at whatever level you are at, this textbook is the perfect tool for teaching practical undergraduate classes on research methods, as well as acting as a comprehensive reference text for the professional scientist. Essential reading for anyone using PsychoPy software, the second edition has been fully updated and includes multiple new chapters about features included in recent versions of PsychoPy, including running studies online and collecting survey data. Part I teaches you all the basic skills you need (and some more advanced tips along the way) to design experiments in behavioral sciences. Each chapter introduces anew concept but will offer a series of working experiments that you can build on. Part II presents more details important for professional scientists intending to use PsychoPy for published research. This part is recommended reading for science professionals in any discipline. Part III covers a range of specialist topics, such as those doing fMRI research, or those studying visual perception. "This book fills an incredibly important gap in the field. Many users of PsychoPy will be excited to learn that there is now a highly accessible and well-designed written guide to refine their skills." – Susanne Quadflieg, University of Bristol
PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this book walks you through the steps of building experiments in PsychoPy, from using images to discovering lesser-known features, and from analysing data to debugging your experiment. Divided into three parts and with unique extension exercises to guide you at whatever level you are at, this textbook is the perfect tool for teaching practical undergraduate classes on research methods, as well as acting as a comprehensive reference text for the professional scientist. Essential reading for anyone using PsychoPy software, the second edition has been fully updated and includes multiple new chapters about features included in recent versions of PsychoPy, including running studies online and collecting survey data. Part I teaches you all the basic skills you need (and some more advanced tips along the way) to design experiments in behavioral sciences. Each chapter introduces anew concept but will offer a series of working experiments that you can build on. Part II presents more details important for professional scientists intending to use PsychoPy for published research. This part is recommended reading for science professionals in any discipline. Part III covers a range of specialist topics, such as those doing fMRI research, or those studying visual perception. "This book fills an incredibly important gap in the field. Many users of PsychoPy will be excited to learn that there is now a highly accessible and well-designed written guide to refine their skills." – Susanne Quadflieg, University of Bristol
PsychoPy is an open-source (free) software package for creating rich, dynamic experiments for 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 for teaching, but also flexible enough for all manner of behavioural experiments. Divided into three parts, 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, and they utilise their breadth of experience in Python development to educate students and researchers in this intuitive, yet powerful, experiment generation package.
Several Python programming books feature tools designed for experimental psychologists. What sets this book apart is its focus on eye-tracking. Eye-tracking is a widely used research technique in psychology and neuroscience labs. Research grade eye-trackers are typically faster, more accurate, and of course, more expensive than the ones seen in consumer goods or usability labs. Not surprisingly, a successful eye-tracking study usually requires sophisticated computer programming. Easy syntax and flexibility make Python a perfect choice for this task, especially for psychology researchers with little or no computer programming experience. This book offers detailed coverage of the Pylink library, a Python interface for the gold standard EyeLink ® eye-trackers, with many step-by-step example scripts. This book is a useful reference for eye-tracking researchers, but you can also use it as a textbook for graduate-level programming courses.
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.
Python is rapidly becoming the de facto standard language for systems integration. Python has a large user and developer-base external to theneuroscience community, and a vast module library that facilitates rapid and maintainable development of complex and intricate systems. In this Research Topic, we highlight recent efforts to develop Python modules for the domain of neuroscience software and neuroinformatics: - simulators and simulator interfaces - data collection and analysis - sharing, re-use, storage and databasing of models and data - stimulus generation - parameter search and optimization - visualization - VLSI hardware interfacing. Moreover, we seek to provide a representative overview of existing mature Python modules for neuroscience and neuroinformatics, to demonstrate a critical mass and show that Python is an appropriate choice of interpreter interface for future neuroscience software development.
This volume reflects a consensus that the investigation of words in the mind offers a unique opportunity to understand both human language ability and general human cognition. It brings together key perspectives on the fundamental nature of the representation and processing of words in the mind. This thematic volume covers a wide range of views on the fundamental nature of representation and processing of words in the mind and a range of views on the investigative techniques that are most likely to reveal that nature. It provides an overview of issues and developments in the field. It uncovers the processes of word recognition. It develops new models of lexical processing.
A simple practice to heal your past and cleanse negative memories to live a more peaceful and harmonious life • Details how to apply Ho'oponopono to deal with traumatic past events, destructive thought patterns, family dynamics, daily annoyances, or any other disagreeable event in your life, from traffic jams to relationship break-ups • Draws on the new science of epigenetics and quantum physics to explain how Ho'oponopono works • Explains how the trauma of past events can cloud your perceptions and reveals how to break free from the weight of your memories Based on an ancestral Hawaiian shamanic ritual, the healing practice of Ho'oponopono teaches you to cleanse your consciousness of negative memories, unconscious fears, and dysfunctional programming and grant yourself forgiveness, peace, and love. The process is deceptively simple--first you must recognize your own responsibility for creating the events in your life, then you are ready to apply the mantra of Ho'oponopono: I’m sorry, Forgive me, Thank you, I love you. Repeated several times over a dedicated interval, the negativity is replaced with inner peace, love, and harmony--and, as the stories in this book show, sometimes even miracles take place. In this step-by-step guide, the authors explain how to apply Ho'oponopono to traumatic past events, destructive thought patterns, family dynamics, daily annoyances, or any other disagreeable event in your life, from traffic jams to relationship break-ups. Drawing on quantum physics and epigenetics, they explore how Ho'oponopono works--how thoughts and consciousness can affect the expression of your DNA, the materialization of your goals, and the behavior of those around you. They explain how negative thought patterns and memories unconsciously guide your life and draw more negativity to you, perpetuating the cycle of bad events and clouding your recollection of the past. By apologizing to yourself, your memory, and the event in question, you can forgive yourself, heal your memories, and cleanse your perceptions. By reconciling with yourself, you open your heart to love for your experiences, yourself, and others and bring harmony to your mind, body, and the world around you.
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.
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.