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• Mirror Neuron (Antunes et al 2017) [Model]

Appleby PA, Elliott T. (2005). Synaptic and temporal ensemble interpretation of spike-timing-dependent plasticity. Neural computation. 17 [PubMed]

Appleby PA, Elliott T. (2006). Stable competitive dynamics emerge from multispike interactions in a stochastic model of spike-timing-dependent plasticity. Neural computation. 18 [PubMed]

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

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• Theta phase precession in a model CA3 place cell (Baker and Olds 2007) [Model]

Bohte SM, Mozer MC. (2007). Reducing the variability of neural responses: a computational theory of spike-timing-dependent plasticity. Neural computation. 19 [PubMed]

Bono J, Clopath C. (2017). Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level. Nature communications. 8 [PubMed]

• Modeling dendritic spikes and plasticity (Bono and Clopath 2017) [Model]

Brader JM, Senn W, Fusi S. (2007). Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural computation. 19 [PubMed]

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• I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014) [Model]

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]

Clopath C, Pedrosa V. (2017). The role of neuromodulators in cortical plasticity. A computational perspective. Front. Synaptic Neurosci.. 8

• A simple model of neuromodulatory state-dependent synaptic plasticity (Pedrosa and Clopath, 2016) [Model]

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• 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]

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

Desai NS, Walcott EC. (2006). Synaptic bombardment modulates muscarinic effects in forelimb motor cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

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]

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

Franks KM, Sejnowski TJ. (2002). Complexity of calcium signaling in synaptic spines. BioEssays : news and reviews in molecular, cellular and developmental biology. 24 [PubMed]

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. (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]

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]

Hiratani N, Fukai T. (2017). Detailed Dendritic Excitatory/Inhibitory Balance through Heterosynaptic Spike-Timing-Dependent Plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

• Heterosynaptic Spike-Timing-Dependent Plasticity (Hiratani & Fukai 2017) [Model]

Hu W et al. (2009). Distinct contributions of Na(v)1.6 and Na(v)1.2 in action potential initiation and backpropagation. Nature neuroscience. 12 [PubMed]

• Action Potential initiation and backpropagation in Neocortical L5 Pyramidal Neuron (Hu et al. 2009) [Model]

Häusser M, Mel B. (2003). Dendrites: bug or feature? Current opinion in neurobiology. 13 [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]

Karmarkar UR, Najarian MT, Buonomano DV. (2002). Mechanisms and significance of spike-timing dependent plasticity. Biological cybernetics. 87 [PubMed]

Kobayashi T, Shimada Y, Fujiwara K, Ikeguchi T. (2017). Reproducing Infra-Slow Oscillations with Dopaminergic Modulation. Scientific reports. 7 [PubMed]

• Reproducing infra-slow oscillations with dopaminergic modulation (Kobayashi et al 2017) [Model]

Legenstein R, Maass W. (2011). Branch-specific plasticity enables self-organization of nonlinear computation in single neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

Letzkus JJ, Kampa BM, Stuart GJ. (2006). Learning rules for spike timing-dependent plasticity depend on dendritic synapse location. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

• STDP depends on dendritic synapse location (Letzkus et al. 2006) [Model]

Maes A, Barahona M, Clopath C. (2020). Learning spatiotemporal signals using a recurrent spiking network that discretizes time. PLoS computational biology. 16 [PubMed]

• Learning spatiotemporal sequences using recurrent spiking NN that discretizes time (Maes et al 2020) [Model]

Morrison A, Aertsen A, Diesmann M. (2007). Spike-timing-dependent plasticity in balanced random networks. Neural computation. 19 [PubMed]

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• First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018) [Model]

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• Biochemically detailed model of LTP and LTD in a cortical spine (Maki-Marttunen et al 2020) [Model]

Rabinowitch I, Segev I. (2006). The endurance and selectivity of spatial patterns of long-term potentiation/depression in dendrites under homeostatic synaptic plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

• Homeostatic synaptic plasticity (Rabinowitch and Segev 2006a,b) [Model]

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

Sadeh S, Clopath C, Rotter S. (2015). Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity. PLoS computational biology. 11 [PubMed]

• Functional balanced networks with synaptic plasticity (Sadeh et al, 2015) [Model]

Shen YS, Gao H, Yao H. (2005). Spike timing-dependent synaptic plasticity in visual cortex: a modeling study. Journal of computational neuroscience. 18 [PubMed]

Toyoizumi T, Pfister JP, Aihara K, Gerstner W. (2007). Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution. Neural computation. 19 [PubMed]

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

• Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014) [Model]

Veredas FJ, Vico FJ, Alonso JM. (2005). Factors determining the precision of the correlated firing generated by a monosynaptic connection in the cat visual pathway. The Journal of physiology. 567 [PubMed]

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Wilmes KA, Sprekeler H, Schreiber S. (2016). Inhibition as a Binary Switch for Excitatory Plasticity in Pyramidal Neurons. PLoS computational biology. 12 [PubMed]

• Inhibition of bAPs and Ca2+ spikes in a multi-compartment pyramidal neuron model (Wilmes et al 2016) [Model]

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]

Yu X, Shouval HZ, Knierim JJ. (2008). A biophysical model of synaptic plasticity and metaplasticity can account for the dynamics of the backward shift of hippocampal place fields. Journal of neurophysiology. 100 [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]