Introduction to Psychophysics with Python
Series: River Publishers Series in Computing and Information Science and Technology;
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher River Publishers
- Date of Publication 30 April 2026
- ISBN 9788743809449
- Binding Paperback
- No. of pages138 pages
- Size 234x156 mm
- Weight 260 g
- Language English
- Illustrations 9 Illustrations, black & white; 22 Illustrations, color; 1 Tables, black & white 700
Categories
Short description:
Introduction to Psychophysics with Python bridges classical theories of sensation and perception with modern computational tools. Featuring tutorials, annotated PsychoPy code, and real-world examples, it equips readers to design, run, and analyze psychophysical experiments confidently.
MoreLong description:
Introduction to Psychophysics with Python is a hands-on guide to exploring how we sense and perceive the world—powered by modern Python programming. Bridging classical theory with today’s computational tools, it equips students and researchers to design, run, and analyze psychophysical experiments with confidence.
Starting from the foundations laid by Weber, Fechner, and Stevens, the book traces the evolution of psychophysics into contemporary practice. Readers gain a clear grounding in sensory physiology, experimental design, and statistical analysis, always tied to the central challenge: connecting physical stimuli to perceptual responses and making sense of the data.
What sets this book apart is its practical, step-by-step approach. Through tutorials and annotated code using PsychoPy, readers learn Python essentials—loops, conditionals, data handling—while building real experiments. These skills extend seamlessly into advanced methods like curve fitting, bootstrapping, and statistical inference.
Illustrated with intuitive explanations, diagrams, and thought-provoking exercises, the book blends conceptual clarity with real-world application. By the end, readers will not only understand the principles of psychophysics but also have the coding expertise to create and analyze their own experiments—opening the door to deeper insights into sensation and perception.
MoreTable of Contents:
1. History of Psychophysics 2. Understanding Sensory Systems 3. Signal Detection Theory and Experimental Design 4. Using PsychoPy to Build Experiments
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