Neuroscience in Practice
Book 1
Book 2
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Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
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Home > Computing and Information Technology > Computer programming / software engineering > Programming and scripting languages: general > Neuroscience in Practice: Learning Brain Signals with Python
Neuroscience in Practice: Learning Brain Signals with Python

Neuroscience in Practice: Learning Brain Signals with Python


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About the Book

Neuroscience in Practice: Learning Brain Signals with Python bridges the gap between brain science and computational methods, making the analysis of neural data accessible to students, researchers, and practitioners. Written in a clear and structured third-person narrative, the book introduces the foundations of neuroscience and demonstrates how Python can be applied to analyze brain signals such as EEG, fMRI, MEG, and spike trains. From signal preprocessing to machine learning and deep learning applications, it guides readers through practical workflows using open-source tools like MNE-Python, Nilearn, Scikit-learn, and PyTorch. This book not only explains the theoretical principles of neural signal processing but also provides real-world Python code snippets, reproducible workflows, and access to open datasets. Readers will learn to clean raw data, extract meaningful features, build predictive models, and apply AI to uncover insights into brain activity. Designed for neuroscientists exploring computational approaches and data scientists stepping into the world of brain research, this book emphasizes both scientific rigor and practical application. It highlights the interdisciplinary nature of modern neuroscience-where biology, computer science, and statistics converge-and empowers readers to design their own projects in brain decoding, brain-computer interfaces, and clinical applications. Whether you are a beginner in Python or an experienced researcher, Neuroscience in Practice provides the roadmap to navigate the complexity of brain signals and turn data into discovery.


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Product Details
  • ISBN-13: 9798263813727
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 140
  • Returnable: N
  • Sub Title: Learning Brain Signals with Python
  • Width: 152 mm
  • ISBN-10: 8263813727
  • Publisher Date: 04 Sep 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 8 mm
  • Weight: 249 gr


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