# Introduction to Neural Computation

- Institution: Massachusetts Institute of Technology
- Department: Brain and Cognitive Sciences
- Taught by: Prof. Michale Fee, Daniel Zysman
- Term: Spring 2018
- Level: Undergraduate
- Language: English
- Subjects: Biology, Medicine and health, Engineering, Psychology and the brain
- Source: [MIT OpenCourseWare](https://ocw.mit.edu/courses/9-40-introduction-to-neural-computation-spring-2018/)
- Licence: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) (Non-commercial use only.)
- Syllabus: [at the source](https://ocw.mit.edu/courses/9-40-introduction-to-neural-computation-spring-2018/pages/syllabus/)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

This course introduces quantitative approaches to understanding brain and cognitive functions. Topics include mathematical description of neurons, the response of neurons to sensory stimuli, simple neuronal networks, statistical inference and decision making. It also covers foundational quantitative tools of data analysis in neuroscience: correlation, convolution, spectral analysis, principal components analysis, and mathematical concepts including simple differential equations and linear algebra.

## Lectures

1. [1. Overview and Ionic Currents](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/023208320422), 1 h 11 min (Video)
2. [2. RC Circuit and Nernst Potential](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/aa6c3a62cefa), 1 h 20 min (Video)
3. [3. Nernst Potential and Integrate and Fire Models](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/1c6d15108b1f), 1 h 7 min (Video)
4. [4. Hodgkin-Huxley Model Part 1](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/2e34d666fc90), 1 h 15 min (Video)
5. [5. Hodgkin-Huxley Model Part 2](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/20af1a7d7a69), 1 h 19 min (Video)
6. [6. Dendrites](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/b3983c48f700), 1 h 7 min (Video)
7. [7. Synapses](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/588cde112e23), 1 h 19 min (Video)
8. [8. Spike Trains](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/4e68b6a70b9d), 57 min (Video)
9. [9. Receptive Fields](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/7dbd4bb45b52), 1 h 18 min (Video)
10. [10. Time Series](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/a6f946e1091c), 1 h 19 min (Video)
11. [11. Spectral Analysis Part 1](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/9c90aa572d29), 1 h 18 min (Video)
12. [12. Spectral Analysis Part 2](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/f7ab02409217), 1 h 13 min (Video)
13. [13. Spectral Analysis Part 3](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/8f59539f0f93), 1 h 9 min (Video)
14. [14. Rate Models and Perceptrons](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/f4b1d982c2a5), 1 h 16 min (Video)
15. [15. Matrix Operations](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/d40831b46af3), 1 h 18 min (Video)
16. [16. Basis Sets](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/c39466fe5e67), 1 h 13 min (Video)
17. [17. Principal Components Analysis​](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/c22347a47ca6), 1 h 22 min (Video)
18. [18. Recurrent Networks](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/0cb5ef8c54ca), 1 h 20 min (Video)
19. [19. Neural Integrators](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/9135d3c834ba), 1 h 8 min (Video)
20. [20. Hopfield Networks](https://invisiblenetwork.ai/learn/mit/9-40-introduction-to-neural-computation-spring-2018/56b47c080c16), 1 h 14 min (Video)