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Introduction to Computational Neuroscience: Data Types & Python Codes
Paperback
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ISBN13: 9798294513566
Publisher: Independently Published
Published: Jul 28 2025
Pages: 294
Weight: 0.87
Height: 0.62 Width: 6.00 Depth: 9.00
Language: English
Publisher: Independently Published
Published: Jul 28 2025
Pages: 294
Weight: 0.87
Height: 0.62 Width: 6.00 Depth: 9.00
Language: English
This book provides an accessible, structured, and hands-on introduction to the growing field of computational neuroscience, with a special focus on data types used in neuroscience research and the Python programming tools used to manipulate and analyze them. Written in third-person narrative, the work presents a balanced blend of neuroscience fundamentals, computational modeling, and coding practices tailored for students, researchers, and data scientists.
The authors adopt a beginner-friendly tone without compromising scientific rigor. Each chapter walks the reader through a key topic in computational neuroscience-exploring neural data structures like spike trains, fMRI scans, membrane potential recordings, and more-then demonstrates how to process and simulate these using Python.
Practical examples, clear code blocks, visualizations, and algorithmic insights ensure that concepts are not only understood, but also applied. The book culminates in a capstone simulation project, inviting readers to build a basic model of a spiking neural network.
Practical examples, clear code blocks, visualizations, and algorithmic insights ensure that concepts are not only understood, but also applied. The book culminates in a capstone simulation project, inviting readers to build a basic model of a spiking neural network.
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