Introduction to Computational Neuroscience with Neuroblox
RES.9-009 · Brain and Cognitive Sciences · Graduate, Non-Credit · January IAP 2025
Prof. Lilianne Mujica-Parodi, Prof. Helmut Strey, Dr. Haris Organtzidis
<p>In this course, you will learn the basics of computational neuroscience via hands-on model building in Neuroblox and Julia. You will simulate models from the literature, from single neurons to large circuits with synaptic plasticity, and fit them to neural data. By the end of the course, you will be able to model your data, build your own custom circuit “blox” that may be incorporated into the Neuroblox library, and explore how interventions such as drugs and stimulation probes affect neural…
The syllabus, on MIT OpenCourseWare
The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing:
Syllabus ↗
Course overview, grading, schedule
Readings ↗
The assigned reading list, session by session
Assignments ↗
Problem sets and projects
Full course on OCW ↗
Everything, including lecture materials
Attribution
Prof. Lilianne Mujica-Parodi, Prof. Helmut Strey, Dr. Haris Organtzidis. RES.9-009 Introduction to Computational Neuroscience with Neuroblox. January IAP 2025. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
Course materials are © their authors and licensed CC BY-NC-SA 4.0. CurrMana links to the source and does not re-host them.