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Computational modeling of heterosynaptic plasticity in the hippocampus
BMC Neuroscience volume 16, Article number: P1 (2015)
Hippocampal long-term potentiation (LTP) and long-term depression (LTD) are central synaptic mechanisms of learning and memory. Here we use compartmental models of hippocampal granule cells to better understand LTP and heterosynaptic LTD which have been reported in the dentate gyrus of awake rats . Our simulations indicate that LTP and heterosynaptic LTD can be explained by a spike-timing-dependent plasticity (STDP) rule combined with a fast Bienenstock-Cooper-Munro (BCM)-like metaplasticity rule [2–5]. We study the interaction between these plasticity rules and ongoing pre- and postsynaptic activity. Our models are able to account for the experimentally observed degree of LTP and heterosynaptic LTD induced by various plasticity-inducing protocols.
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The work was supported by a Young Investigators Grant (from the faculty of medicine Goethe-University to P.J.) and by a BMBF grant (Germany-USA Collaboration in Computational Neuroscience to P.J., No. 01GQ1203A).
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Jedlicka, P., Benuskova, L. & Abraham, W.C. Computational modeling of heterosynaptic plasticity in the hippocampus. BMC Neurosci 16 (Suppl 1), P1 (2015). https://doi.org/10.1186/1471-2202-16-S1-P1
- Animal Model
- Computational Modeling
- Granule Cell
- Dentate Gyrus
- Compartmental Model