Outline for the tutorials
TP1 - 2 hours
- Implement the LIF
- Try different input currents
-> Looking at one neuron is good but how can we try to understand behaviour based on a large amount of neurons .
TP2 - 2 hours
- Computes the firing rate + ISI (and histograms)
- Produce Raster plots Goal: Learn how to compute firing rates and ISI intervals on real data Be able to produce and interpret raster plots
TP3 - 2 hours
- Interpret and understand the differential equations representing our system with 2 population of neurons
- Discretize and implement the equations
- Add input current to the system
- Decision making: Speed and accuracy tradeoff
- Winner takes all Goal: How to interpret firing rates of a large number of neurons.
TP4 - 2 hours + kickoff project
- Model formulation
- Cost function
- Control
- Kalman
Goal: Have the intuition for the LQG and kick off for the project
To open this in colab :
| Run | View | |
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| Tutorial 1 |  |
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| Tutorial 1 - Solutions | |
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| Tutorial 2 | |
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| Tutorial 2 - Solutions | |
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| Tutorial 3 | |
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| Tutorial 3 - Solutions | |
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