Modeling dentate granule cells heterosynaptic plasticity using STDP-BCM rule (Jedlicka et al. 2015)

... Here we study how key components of learning mechanisms in the brain, namely spike timing-dependent plasticity and metaplasticity, interact with spontaneous activity in the input pathways of the neuron. Using biologically realistic simulations we show that ongoing background activity is a key determinant of the degree of long-term potentiation and long-term depression of synaptic transmission between nerve cells in the hippocampus of freely moving animals. This work helps better understand the computational rules which drive synaptic plasticity in vivo. ...

Model Type: Neuron or other electrically excitable cell; Synapse

Cell Type(s): Dentate gyrus granule GLU cell

Receptors: AMPA

Transmitters: Glutamate

Model Concept(s): STDP; Homeostasis

Simulation Environment: NEURON

Implementer(s): Jedlicka, Peter [jedlicka at]


Jedlicka P, Benuskova L, Abraham WC. (2015). A Voltage-Based STDP Rule Combined with Fast BCM-Like Metaplasticity Accounts for LTP and Concurrent "Heterosynaptic" LTD in the Dentate Gyrus In Vivo. PLoS computational biology. 11 [PubMed]

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