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Loebel A, Le Bé JV, Richardson MJ, Markram H, Herz AV (2013) Matched pre- and post-synaptic changes underlie synaptic plasticity over long time scales. J Neurosci 33:6257-66 [PubMed]

References and models cited by this paper

References and models that cite this paper

Costa RP, Froemke RC, Sjöström PJ, van Rossum MC (2015) Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning. Elife [Journal] [PubMed]
   Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015) [Model]
Costa RP, Padamsey Z, D'Amour JA, Emptage NJ, Froemke RC, Vogels TP (2017) Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity. Neuron 96:177-189.e7 [Journal] [PubMed]
   Statistical Long-term Synaptic Plasticity (statLTSP) (Costa et al 2017) [Model]
Hiratani N, Fukai T (2018) Redundancy in synaptic connections enables neurons to learn optimally. Proc Natl Acad Sci U S A 115:E6871-E6879 [Journal] [PubMed]
   A model of optimal learning with redundant synaptic connections (Hiratani & Fukai 2018) [Model]
Smolen P (2015) Modeling maintenance of long-term potentiation in clustered synapses: long-term memory without bistability. Neural Plast 2015:185410 [Journal] [PubMed]
   Modeling maintenance of Long-Term Potentiation in clustered synapses (Smolen 2015) [Model]
Vasilaki E, Giugliano M (2014) Emergence of connectivity motifs in networks of model neurons with short- and long-term plastic synapses. PLoS One 9:e84626 [Journal] [PubMed]
   Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014) [Model]
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