Suggested preparation: Calculus, linear algebra, programming and introductory neuroscience.
Optional preparation: Free MIT Course: Sensory Neuroscience and Sensory Systems.
About this course
Study nervous systems through computational models. The course connects ionic currents and dendrites with signal analysis and representations, providing a quantitative route into neural computation.
Topics and lesson examples
- 1: Course Overview and Ionic Currents – Intro to Neural Computation
- 5: Hodgkin-Huxley Model Part 2 – Intro to Neural Computation
- 10: Time Series – Intro to Neural Computation
- 15: Matrix Operations – Intro to Neural Computation
- 20: Hopfield Networks – Intro to Neural Computation
Course at a glance
| Provider | MIT |
|---|---|
| Platform | YouTube · MIT OpenCourseWare |
| Access | Free Video |
| Level | Professional — WikiFree study-level assessment |
| Language | English |
| Available lessons | 20 |
| Video duration | 24h 33m · self-paced |
| Details checked | 10 October 2026 |
Preparation and study approach
Suggested preparation: Calculus, linear algebra, programming and introductory neuroscience.
Follow the available videos in sequence, pausing to summarize the main argument or reconstruct a worked example. Keep a short list of assumptions, unfamiliar terms and questions to revisit. Additional reading, problem solving and practice will take time beyond the listed video duration.
Using this video classroom
Select a lesson from the list, or search for a topic. Previous and Next move through the sequence. You can mark lessons complete; progress is stored in this browser without a WikiFree account.
Free access and course scope
The public MIT OpenCourseWare videos in this classroom are free to watch. This listing provides the available playlist recordings, which may include selected lectures, recitations, demonstrations or supporting discussions rather than every component of the original campus course. Textbooks, equipment, software licenses, supervised labs, graded assignments and instructor feedback are not supplied by WikiFree. No purchase is required to watch the videos or use the note-based study approach above.
WikiFree independently organizes these resources for self-paced study. Watching does not award an MIT certificate, academic credit or admission to MIT.
Video provider and credit: MIT OpenCourseWare on YouTube. WikiFree titles, descriptions and cover artwork are independently prepared.
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- Review a lower-level optionFree MIT Course: Sensory Neuroscience and Sensory Systems
Focus: 1. Introduction, the visual system · 6. Adaptation and color
Intermediate - Compare another approachFree MIT Course: Brain Structure and Neural Development
Focus: 1. Introduction: brain orientation, primitive cellular activities · 9. Autonomic nervous system; differentiation of the brain vesicles and intro to the hindbrain...
Professional - Compare another approachFree MIT Course: Genomics and Computational Biology
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Professional
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free MIT Course: Neural Computation and Computational Neuroscience | Professional | 1: Course Overview and Ionic Currents - Intro to Neural Computation · 5: Hodgkin-Huxley Model Part 2 - Intro to Neural Computation · 10: Time Series - Intro to Neural Computation | 24h 33m of video; practice time is additional |
| Free MIT Course: Sensory Neuroscience and Sensory Systems | Intermediate | 1. Introduction, the visual system · 6. Adaptation and color · 12. Motion perception and pursuit eye movements | 30h 8m of video; practice time is additional |
| Free MIT Course: Brain Structure and Neural Development | Professional | 1. Introduction: brain orientation, primitive cellular activities · 9. Autonomic nervous system; differentiation of the brain vesicles and intro to the hindbrain... · 21. Visual systems, part 1 | 28h 30m of video; practice time is additional |
| Free MIT Course: Genomics and Computational Biology | Professional | 1A. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica · 3B. DNA 1 : Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics... · 6A. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ... | 18h 25m of video; practice time is additional |
Provider: MIT. Videos play from the MIT OpenCourseWare channel on YouTube.
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