Cai Y, Gavornik JP, Cooper LN, Yeung LC, Shouval HZ. (2007). Effect of stochastic synaptic and dendritic dynamics on synaptic plasticity in visual cortex and hippocampus. Journal of neurophysiology. 97 [PubMed]

Clopath C, Büsing L, Vasilaki E, Gerstner W. (2010). Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nature neuroscience. 13 [PubMed]

• Voltage-based STDP synapse (Clopath et al. 2010) [Model]

Costa RP, Froemke RC, Sjöström PJ, van Rossum MC. (2015). Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning. eLife. 4 [PubMed]

• Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015) [Model]

Costa RP et al. (2017). Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity. Neuron. 96 [PubMed]

• Statistical Long-term Synaptic Plasticity (statLTSP) (Costa et al 2017) [Model]

Costa RP, Sjöström PJ, van Rossum MC. (2013). Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits. Frontiers in computational neuroscience. 7 [PubMed]

• Prob. Inference of Short-Term Synaptic Plasticity in Neocort. Microcircuits (Costa et al. 2013) [Model]

Delgado JY, Gómez-González JF, Desai NS. (2010). Pyramidal neuron conductance state gates spike-timing-dependent plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

• Pyramidal neuron conductances state and STDP (Delgado et al. 2010) [Model]

Ebner C, Clopath C, Jedlicka P, Cuntz H. (2019). Unifying Long-Term Plasticity Rules for Excitatory Synapses by Modeling Dendrites of Cortical Pyramidal Neurons. Cell reports. 29 [PubMed]

• Four-pathway phenomenological synaptic plasticity model (Ebner et al. 2019) [Model]

Esposito U, Giugliano M, Vasilaki E. (2014). Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity. Frontiers in computational neuroscience. 8 [PubMed]

• Adaptation of Short-Term Plasticity parameters (Esposito et al. 2015) [Model]

Gerkin RC, Lau PM, Nauen DW, Wang YT, Bi GQ. (2007). Modular competition driven by NMDA receptor subtypes in spike-timing-dependent plasticity. Journal of neurophysiology. 97 [PubMed]

• STDP and NMDAR Subunits (Gerkin et al. 2007) [Model]

Graupner M, Brunel N. (2012). Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location. Proceedings of the National Academy of Sciences of the United States of America. 109 [PubMed]

Hardingham NR, Hardingham GE, Fox KD, Jack JJ. (2007). Presynaptic efficacy directs normalization of synaptic strength in layer 2/3 rat neocortex after paired activity. Journal of neurophysiology. 97 [PubMed]

Kampa BM, Stuart GJ. (2006). Calcium spikes in basal dendrites of layer 5 pyramidal neurons during action potential bursts. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

• Calcium spikes in basal dendrites (Kampa and Stuart 2006) [Model]

Rumsey CC, Abbott LF. (2004). Equalization of synaptic efficacy by activity- and timing-dependent synaptic plasticity. Journal of neurophysiology. 91 [PubMed]

Urakubo H, Honda M, Froemke RC, Kuroda S. (2008). Requirement of an allosteric kinetics of NMDA receptors for spike timing-dependent plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

• An allosteric kinetics of NMDARs in STDP (Urakubo et al. 2008) [Model]

Watt AJ, Sjöström PJ, Häusser M, Nelson SB, Turrigiano GG. (2004). A proportional but slower NMDA potentiation follows AMPA potentiation in LTP. Nature neuroscience. 7 [PubMed]

Zhou YD, Acker CD, Netoff TI, Sen K, White JA. (2005). Increasing Ca2+ transients by broadening postsynaptic action potentials enhances timing-dependent synaptic depression. Proceedings of the National Academy of Sciences of the United States of America. 102 [PubMed]