Practices
We will mainly use Matlab/Octave in the practice sessions. You can find nice video tutorials here:
Octave: https://www.coursera.org/learn/machine-learning/lecture/9fHfl/basic-operations
Matlab: https://www.coursera.org/learn/machine-learning/supplement/Mlf3e/more-octave-matlab-resources
Solutions presented in python are also accepted, simply there will be some helpful code provided for you in Matlab/Octave
GitHub repo:
You can find practical session exercises from last year and new tasks from this year in there.
https://github.com/NeuroCSUT/Computational-Neuroscience-Course/
Dates and times A new practice will be added every week
- 13.02: Lecture, not practice session
- 20.02:
01. Brain structure
- TED: Sebastian Seung "I am my connectome"
- http://neuromorpho.org
- Deadline: 28/02/2018- 23:59:59.
- 27.02: Answering questions (no new home work)
- 06.03: 02. Data Analysis.
- Deadline: 14.03.2018 23:59:59.
- 13.03: 03. Data Analysis II: Machine Learning.
- Deadline: 21.03.2018 23:59:59.
- 20.03 04. Single Neuron Models
- Deadline: 28.03.2018 23:59:59.
- 27.03 05. Neuron Network Models
- Deadline: 04.04.2018 23:59:59.
- 03.04 Homework QA.
- 10.04 Projects QA.
- 17.04 Projects QA.
- 23.04 Projects QA (switched with lecture).
- 01.05 University Holiday.
- 08.05 Projects QA.
- 15.05 Projects QA.
- 22.05 Projects QA.
- 29.05 Projects QA.
Submission
The deadline is strict. You will not receive any points if submit after the deadline.
1. Home work 1 - Brain structure
Solutions for this task can no longer be submitted.
2. Home work 2 - Data analysis
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3. Home work 3 - Machine Learning
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4. Home work 4 - Single Neuron Model
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5. Home work 5 - Neuron Networks
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6. Project - Check point 1
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7. Project - Check point 2
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8. Project - Final Submission
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- In May Project presentations