Files
Download Full Text (15.7 MB)
Download Table of Contents (184 KB)
Download Chapter 1: Preface (6.4 MB)
Download Chapter 2: Introduction to Python (400 KB)
Download Chapter 3: What is Computational Neuroscience? (853 KB)
Download Chapter 4: Passive Membrane Models (3.1 MB)
Download Chapter 5: Hodgkin and Huxley Model (746 KB)
Download Chapter 6: Firing Rates (764 KB)
Download Chapter 7: Reverse Correlation and Receptive Field Mapping (1.7 MB)
Download Chapter 8: Decoding (1.2 MB)
Download Chapter 9: Neural Networks (855 KB)
Download Chapter 10: Glossary (342 KB)
Download Chapter 11: References (245 KB)
Download Chapter 12: Answers to Exercises (496 KB)
Document Type
Open Educational Resource
Publication Date
12-2019
Disciplines
Computational Neuroscience | Neuroscience and Neurobiology
Keywords
computational models, neural networks, encoding and decoding, open textbook, undergraduate
Description
In Fall 2019, the Computational Neuroscience class at Bates College collaborated to begin an open textbook. Eight students across three majors collaborated to present the content they were learning to students who were similar to themselves. This project serves both pedagogical and social goals. By writing for fellow students, we leveraged the power of teaching for learning. By bringing together students of diverse academic backgrounds, we leveraged the power of peer instruction. Finally, by writing in the open, students not only brought their best work forward, but are working to contribute to an open knowledge environment that democratizes information. This is version 1.0 of a living document that will be extended and revised over the course of several generations of students.
Department
Neuroscience
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Greene, Michelle and Students, NS/PY 357, "Computational Neuroscience" (2019). Open Educational Resources. 1.
https://scarab.bates.edu/oer/1
Comments
This is version 1.0 of a living document that will be revised, reused, and appended over the course of many generations of the course. It contains new chapters as well as expansions of previous chapters. For the GitHub version of the text that can be customized, please visit: