Neural Computation 2005-2006 Webpage

The neural computation course looks in detail at the computations carried out by the nervous system.
We try to stay close to the experimental data.
By looking at the details, we try to figure out the function of the nervous system in a bottom-up fashion.

Keywords: single neuron models, neural codes, plasticity models.

The Lecture Notes (pdf).
Here is the syllabus.

Practicals and assignments:

In the tutorials we use MatLab and NEURON (a special purpose simulator). More information on Matlab, graphs, reports, etc.

The practicals can be found here (paper copies will be distributed during the practicals).

1. The NEURON simulator: Passive properties

2. The NEURON simulator: Hodgkin-Huxley model

3. NEURON: Interactions of synapses on dendrites

4. Matlab: AMPA receptor simulation  Script: ampa.m

Assignment 1: corrif.pdf
Deadline: March 6th (updated)

5. Matlab: Mutual information of a Poisson spiker  Script: bits.m

6. Matlab: Ben-Yishai network  Script: ben2.m

7. Matlab: Hebbian learning with constraints Script: hebb.m (matlab)

Assignment 2: lev.pdf
Deadline: April 20.

Additional Matlab: An Integrate and fire neuron  Script: mvr_if_matlab.m

Additional information:

Dayan and Abbot book in pdf (please refrain from distributing it)

Old (2001-2002) webpages

Movies of LGN and V1 recordings (play with mplayer under linux):

hubel_Wiesel_lgn_off_cell.asf
hubel_wiesel_binocular_cell.asf
hubel_wiesel_complex.asf
hubel_wiesel_directional_cell.asf
hubel_wiesel_lgn_on_cell.asf
hubel_wiesel_simple_cell.asf

Recurrent 6-node network with chaotic behavior bifur6.m