Tag Trigger Consolidation (Clopath and Ziegler et al. 2008)

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This model simulates different phases of LTP/D, i.e. the induction or early phase, the setting of synaptic tags, a trigger process for protein synthesis, and a slow transition leading to synaptic consolidation namely the late phase of synaptic plasticity. The model explains a large body of experimental data on synaptic tagging and capture, cross-tagging, and the late phases of LTP and LTD. Moreover, the model accounts for the dependence of LTP and LTD induction on voltage and presynaptic stimulation frequency.
1 . Clopath C, Ziegler L, Vasilaki E, B├╝sing L, Gerstner W (2008) Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression. PLoS Comput Biol 4:e1000248 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Synapse;
Brain Region(s)/Organism:
Cell Type(s): Hippocampus CA1 pyramidal GLU cell; Abstract integrate-and-fire adaptive exponential (AdEx) neuron;
Gap Junctions:
Transmitter(s): Dopamine;
Simulation Environment: Python;
Model Concept(s): Simplified Models; Synaptic Plasticity; Long-term Synaptic Plasticity; Maintenance;
Implementer(s): Ziegler, Lorric ;
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; Dopamine;
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

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