NeuromatchAcademy/course-content

NMA Computational Neuroscience course

Licence: Creative Commons Attribution 4.0 International

Keywords: Statistics, Machine learning, Python, Pathways and Networks, Artificial intelligence

Version: v3.0.2

Date created: 2020-05-10

Date modified: 2026-06-05

Date published: 2026-03-20

Authors: Neuromatch Academy

Contributors: Lin Zhong, Ella Batty, Spiros Chavlis, Michael Waskom, Zoltan, Patrick Mineault, Marius Pachitariu, actions-user, Madineh Sarvestani, Gunnar Blohm, Marco Brigham, Athena Akrami, Tara van Viegen, Matthew Krause, Jesse Livezey, courtneydean33, Yaroslav Halchenko, Marcel Stimberg, mayofaulkner, CodeWizard, Byron Galbraith, Matt McCann, Kshitij Dwivedi, Scott Linderman, Saeed Salehi, Steeve Laquitaine, Jorge A Menendez, carsen-stringer, Iryna Yavorska, vincentvalton, Titipat Achakulvisut, Eric, kbonnen, Yoni Friedman, Siddharth Suresh, Viviana Greco, Ann Kennedy, Vasudev Sharma, Saad Jbabdi, Richard Gao, Rafael Grigoryan, Max Myroshnychenko, Jesse Parent, Ethan Cheng, Bernard Marius 't Hart, Ritobrata Ghosh, texnh, SanjeevNara-01, Xaq, Sophie Laturnus, Pierre-Etienne Fiquet, Nima Dehghani, Marina, Marcelo G Mattar, Jeffrey Erlich, Himanshu Aggarwal, Furkan Ozcelik, Federico d'Oleire Uquillas, Alish Dipani, Aalok Varma

Scientific topics: Machine learning, Statistics and probability, Pathway or network


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