| 1. Introduction.mp4 | 144.1 MB | ||
| 1. Introduction.srt | 8.1 KB | ||
| 1. Overview.mp4 | 21.5 MB | ||
| 1. Overview.srt | 1 KB | ||
| 10. Comparing the effects of direct current and noise.mp4 | 109.4 MB | ||
| 10. Comparing the effects of direct current and noise.srt | 10.6 KB | ||
| 10.1 lif2(1).py | 3.3 KB | ||
| 11. Plot the input-output transfer function.html | 204.8 B | ||
| 2. Downloading the dataset and understanding its shape.mp4 | 71.6 MB | ||
| 2. Downloading the dataset and understanding its shape.srt | 11.2 KB | ||
| 2. The linear integrate and fire model.mp4 | 63 MB | ||
| 2. The linear integrate and fire model.srt | 10.3 KB | ||
| 3. Histograms and raster plots.mp4 | 60.3 MB | ||
| 3. Histograms and raster plots.srt | 8.6 KB | ||
| 3. Improving the LIF model.mp4 | 3.7 MB | ||
| 3. Improving the LIF model.srt | 716.8 B | ||
| 4. Improve the LIF model.html | 204.8 B | ||
| 4. Inter spike interval (ISI).mp4 | 46.8 MB | ||
| 4. Inter spike interval (ISI).srt | 7.2 KB | ||
| 5. Approximating the ISI´s distribution.mp4 | 51.4 MB | ||
| 5. Approximating the ISI´s distribution.srt | 7.6 KB | ||
| 5. Solutions to the first assignment.mp4 | 40.7 MB | ||
| 5. Solutions to the first assignment.srt | 4.6 KB | ||
| 5.1 Section_2.ipynb | 102.2 KB | ||
| 5.2 Section_2.py | 4.5 KB | ||
| 5.3 The first steps to analyze a neuronal dataset.pdf | 12.9 KB | ||
| 6. Basic concepts to elaborate a better Neuron model.mp4 | 15.3 MB | ||
| 6. Basic concepts to elaborate a better Neuron model.srt | 2.4 KB | ||
| 6. Short quiz 1.html | 204.8 B | ||
| 7. Writing down a neuron model with the new variables.mp4 | 132.2 MB | ||
| 7. Writing down a neuron model with the new variables.srt | 13.1 KB | ||
| 8. Interpreting the model output.html | 204.8 B | ||
| 9. Effects of direct current and noise.mp4 | 67.3 MB | ||
| 9. Effects of direct current and noise.srt | 5.5 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 38 total files | |||
Python for Neuroscience, level 1
https://TutGee.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 14 lectures (1h 59m) | Size: 839.2 MB
Modeling a neuron with python
What you'll learn
Use Python to understand a multiarray neuronal dataset
Use Python to understand the neuronal spiking distribution
Take advantage of Python to make graphics
Know the principles of Modelling Neurons with Python
Requirements
It is important that you know the basics of Python. This is an intermediate course. Also you should have taken at least one undergraduate course in neuroscience.
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| 707.7 MB | freecoursewb | 5 days | 26 | 19 | |
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| 2.9 GB | freecoursewb | 5 days | 2 | 19 | |
| 3.1 GB | freecoursewb | 5 days | 18 | 4 | |
| 3.4 GB | freecoursewb | 5 days | 0 | 0 |
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