Neural Computation 2003-2004
Webpage
The neural computation course looks in detail at the computations
carried out by the nervous system.
In contrast to the DCFC course, we try to stay as close as possible 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).
Erratum: pg. 46 1)
due to the leak but 1) due to the stimulus V-> V+Delta
t/tau I_stim
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: An Integrate and fire neuron
Script: mvr_if_matlab.m
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)
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
Simulation of V1 maps:
http://www.cs.utexas.edu/users/jbednar/