Senn W, Markram H, Tsodyks M. (2001). An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing. Neural computation. 13 [PubMed]

See more from authors: Senn W · Markram H · Tsodyks M

References and models cited by this paper
References and models that cite this paper

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

Appleby PA, Elliott T. (2007). Multispike interactions in a stochastic model of spike-timing-dependent plasticity. Neural computation. 19 [PubMed]

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]

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

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

Buchs NJ, Senn W. (2002). Spike-based synaptic plasticity and the emergence of direction selective simple cells: simulation results. Journal of computational neuroscience. 13 [PubMed]

Bugmann G, Christodoulou C, Clarkson T. (). A Spiking Neuron Model: Applications and Learning. Neural Networks. 15

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]

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

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

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]

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

Gerstner W, Kistler WM. (2002). Mathematical formulations of Hebbian learning. Biological cybernetics. 87 [PubMed]

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

Guyonneau R, VanRullen R, Thorpe SJ. (2005). Neurons tune to the earliest spikes through STDP. Neural computation. 17 [PubMed]

Karmarkar UR, Buonomano DV. (2002). A model of spike-timing dependent plasticity: one or two coincidence detectors? Journal of neurophysiology. 88 [PubMed]

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

Rudolph M, Destexhe A. (2006). Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies. Neural computation. 18 [PubMed]

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]

Saudargiene A, Porr B, Wörgötter F. (2004). How the shape of pre- and postsynaptic signals can influence STDP: a biophysical model. Neural computation. 16 [PubMed]

Senn W, Buchs NJ. (2003). Spike-based synaptic plasticity and the emergence of direction selective simple cells: mathematical analysis. Journal of computational neuroscience. 14 [PubMed]

Tamosiunaite M, Porr B, Wörgötter F. (2007). Self-influencing synaptic plasticity: recurrent changes of synaptic weights can lead to specific functional properties. Journal of computational neuroscience. 23 [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]

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]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.