Computational Modelling of Synaptic Plasticity in theDentate Gyrus Granule Cell

computational neuroscience;STDP;BCM;spike timing dependent plasticity;metaplasticity;dentate gyrus granule cell;granule cell;neuroscience;heterosynaptic;LTP;LTD

Hananeia, Nicholas ; Benuskova, Lubica

University of Otago

关键词: computational neuroscience;    STDP;    BCM;    spike timing dependent plasticity;    metaplasticity;    dentate gyrus granule cell;    granule cell;    neuroscience;    heterosynaptic;    LTP;    LTD;   

Others  :  https://ourarchive.otago.ac.nz/bitstream/10523/5482/1/HananeiaNicholas2015MSc.pdf

美国|英语

来源: Otago University Research Archive

【 摘 要 】

After more than 30 years of study, the dynamics of synaptic plasticity in neurons still remain somewhat a mystery. By conducting a series of simulations on a simulated version of the rat dentate gyrus granule cell usingthe Izhikevich spiking neuron model, we compare and contrast several potential synaptic plasticity rules;; applicability to the same experiment. Based on a 2001 experiment (Abraham et al., 2001), our simulations find that spike timing dependent plasticity (STDP), a more recent (Markram et al., 1997) theory of synaptic plasticity, is insufficient to replicate the heterosynaptic LTD shown in the experiment without including aspects of the significantly older Bienenstock-Cooper-Munro (BCM)(Bienenstock et al., 1982) theory. A combination of the history-independent STDP model and the historydependent BCM model seems most likely to be an accurate candidate for reproducing the greatest variety of cell dynamics. We also findthat in simpler nearest-neighbour STDP rules, the choice of pairing scheme is critical in achieving the greatest concordance with experiment.