1. MATLAB tutorial online version Methods in Computational Neuroscience Obidos, 2004 Thanks to Oren Shriki, Oren Farber and Barak Blumenfeld

2. Capabilities Numerical calculations. Matrix manipulations. MATLAB = MATrix LABoratory Data Analysis Data Visualisation Simulations Neuronal models Network models Analytical calculations User interfaces....

3. Desktop Demo type demo matlab desktop in the prompt,and then start a „desktop environment“ demo Starting MATLAB

4. Matrix Manipulations First steps. Learning by doing

5. Importing Data type demo matlab desktop in the prompt,and then start a „importing data“ Data Analysis Demo Interpolation Demo Data analysis

6. Mexican hat function 3-D plots

7. Exercise 3 Poisson spike train generator Spike times: t i Interspike interval distribution: P[τ ≤ t i+1 - t i < τ +Δt] = rΔt exp(rτ). Formula for generation: t i+1 = t i - ln(x rand )/r. Relative refractory period: Autocorrelation function

8. Weak coupling with homogeneous input Weak coupling with noisy tuned input Strong coupling with noisy tuned input Strong coupling with nonspecific input Ring neural network model T g(x)

9. Orientation maps

10. Preferred orientation φ Selectivity Orientation maps

11. (courtesy of Barak Blumenfeld) T g(x) 2-D network of visual cortex