BCM-like synaptic plasticity with conductance-based models (Narayanan Johnston, 2010)

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" ... Although the BCM-like plasticity framework has been a useful formulation to understand synaptic plasticity and metaplasticity, a mechanism for the activity-dependent regulation of this modification threshold has remained an open question. In this simulation study based on CA1 pyramidal cells, we use a modification of the calcium-dependent hypothesis proposed elsewhere and show that a change in the hyperpolarization-activated, nonspecific-cation h current is capable of shifting the modification threshold. ..."
1 . Narayanan R, Johnston D (2010) The h current is a candidate mechanism for regulating the sliding modification threshold in a BCM-like synaptic learning rule. J Neurophysiol 104:1020-33 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Synapse; Channel/Receptor;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s): Hippocampus CA1 pyramidal GLU cell;
Channel(s): I Na,t; I A; I h; I Potassium;
Gap Junctions:
Receptor(s): AMPA; NMDA;
Transmitter(s): Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Active Dendrites; Synaptic Plasticity; Calcium dynamics;
Implementer(s): Narayanan, Rishikesh [rishi at iisc.ac.in];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; AMPA; NMDA; I Na,t; I A; I h; I Potassium; Glutamate;
The files in this directory form an implementation of a BCM-like
synaptic plasticity rule in a conductance-based model. The simulation
environment is NEURON.  The model contains Na, KDR, KA and h currents,
and employs GHK-based implementations of AMPA and NMDA receptors.
Whereas the MOD files for the channel and receptor currents were
derived from previous studies, the main files associated with this
model are Fig2.hoc and Wghkampa.mod. Fig2.hoc helps recreate Fig.
2A and Fig. 2B of the following paper:

Narayanan R, Johnston D. The h current is a candidate mechanism for 
regulating the sliding modification threshold in a BCM-like synaptic 
learning rule.  J Neurophysiol. 2010 Aug; 104(2):1020-33. doi: 
10.1152/jn.01129.2009.  PubMed PMID: 20554832. PubMed Central PMCID: 

Running the functions Fig2A() and Fig2B() in the file Fig2.hoc will
create files that will contain data for plotting Fig. 2A and Fig.
2B of the paper, respectively. Example outputs that were obtained
by running Fig2A() and Fig2B() are also provided as TXT files in
this directory. A calcium-based synaptic plasticity rule (from
Shouval et al., PNAS, 2002) is incorporated into the model to update
the weight, and these weight updates are performed in the MOD file

Implemented by Rishikesh Narayanan. Contact rishi.n@gmail.com.

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