Badoual M et al. (2006). Biophysical and phenomenological models of multiple spike interactions in spike-timing dependent plasticity. International journal of neural systems. 16 [PubMed]

• Biophysical and phenomenological models of spike-timing dependent plasticity (Badoual et al. 2006) [Model]

Burkitt AN, Meffin H, Grayden DB. (2004). Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point. Neural computation. 16 [PubMed]

Cornelisse LN, van Elburg RA, Meredith RM, Yuste R, Mansvelder HD. (2007). High speed two-photon imaging of calcium dynamics in dendritic spines: consequences for spine calcium kinetics and buffer capacity. PloS one. 2 [PubMed]

• Determinants of fast calcium dynamics in dendritic spines and dendrites (Cornelisse et al. 2007) [Model]

Dorman DB, Jędrzejewska-Szmek J, Blackwell KT. (2018). Inhibition enhances spatially-specific calcium encoding of synaptic input patterns in a biologically constrained model. eLife. 7 [PubMed]

• Striatal Spiny Projection Neuron, inhibition enhances spatial specificity (Dorman et al 2018) [Model]

Graupner M, Brunel N. (2007). STDP in a bistable synapse model based on CaMKII and associated signaling pathways. PLoS computational biology. 3 [PubMed]

• CaMKII system exhibiting bistability with respect to calcium (Graupner and Brunel 2007) [Model]

Luthman J et al. (2011). STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron. Cerebellum (London, England). 10 [PubMed]

• STD-dependent and independent encoding of Input irregularity as spike rate (Luthman et al. 2011) [Model]
• Robust transmission in the inhibitory Purkinje Cell to Cerebellar Nuclei pathway (Abbasi et al 2017) [Model]

Matveev V, Bertram R, Sherman A. (2006). Residual bound Ca2+ can account for the effects of Ca2+ buffers on synaptic facilitation. Journal of neurophysiology. 96 [PubMed]

• Facilitation model based on bound Ca2+ (Matveev et al. 2006) [Model]

Matveev V, Zucker RS, Sherman A. (2004). Facilitation through buffer saturation: constraints on endogenous buffering properties. Biophysical journal. 86 [PubMed]

• Facilitation through buffer saturation (Matveev et al. 2004) [Model]

Mukunda CL, Narayanan R. (2017). Degeneracy in the regulation of short-term plasticity and synaptic filtering by presynaptic mechanisms. The Journal of physiology. 595 [PubMed]

• Conductance based model for short term plasticity at CA3-CA1 synapses (Mukunda & Narayanan 2017) [Model]

Narayanan R, Johnston D. (2010). The h current is a candidate mechanism for regulating the sliding modification threshold in a BCM-like synaptic learning rule. Journal of neurophysiology. 104 [PubMed]

• BCM-like synaptic plasticity with conductance-based models (Narayanan Johnston, 2010) [Model]

O'Donnell C, Nolan MF, van Rossum MC. (2011). Dendritic spine dynamics regulate the long-term stability of synaptic plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

• CA1 pyramidal neuron dendritic spine with plasticity (O`Donnell et al. 2011) [Model]

Sun HY, Lyons SA, Dobrunz LE. (2005). Mechanisms of target-cell specific short-term plasticity at Schaffer collateral synapses onto interneurones versus pyramidal cells in juvenile rats. The Journal of physiology. 568 [PubMed]

Wörgötter F, Porr B. (2005). Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanisms. Neural computation. 17 [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]