This is the readme for the TagTriC model from:
C.Clopath, L.Ziegler, E.Vasilaki, L.Buesing and W.Gerstner
Tag-Trigger-Consolidation: A Model of Early and Late
Long-Term-Potentiation and Depression
PLoS Comput Biol. 4(12): e1000248, 2008
Execute or import tagtric.py in an interactive python shell (ipython).
The function 'sim' simulates a neuron with 2 pathways of 100 input
synapses each (see U.Frey and R.Morris, Nature 385:533-536, 1997). It
takes three string arguments: 1st stimulation protocol, 2nd
stimulation, and what to plot.
- The 2 first arguments should be one of 'wtet','stet','wlfs','slfs'
or 'nothing' which stand for weak/strong tetanus, weak/stonrg low
frequency prpotocol and nothing, respectively.
- The 3rd one is for plotting. The string should contain: 'w1' and/or
'w2' for the weight (decomposed in h, l and z, see the article for
details) of the 1st and/or 2nd pathway(s); 'hl' for a two
dimensional graph of the decomposed weights; 'p' for the protein
The function 'simoconn' simulates the experience by O'Connor
(D.O'Connor, G.Wittenberg and S.Wang, J Neurophysiol 94:1565-1573,
2005) on the frequency dependence of LTP/D. It takes a frequency (in
[Hz]) as argument.
For any question on the code contact
April 20th, 2009 - updated with corrected amplitudes for