Yu Q, Tang H, Hu J, Tan KC. (2017). Precise-Spike-Driven Synaptic Plasticity for Hetero Association of Spatiotemporal Spike Patterns Neuromorphic Cognitive Systems: A Learning and Memory Centered Approach.

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References and models cited by this paper

Artola A, Bröcher S, Singer W. (1990). Different voltage-dependent thresholds for inducing long-term depression and long-term potentiation in slices of rat visual cortex. Nature. 347 [PubMed]

Bohte S, Kok J, La_Poutre H. (2002). Error-backpropagation in temporally encoded networks of spiking neurons Neurocomputing. 48

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

Carey MR, Medina JF, Lisberger SG. (2005). Instructive signals for motor learning from visual cortical area MT. Nature neuroscience. 8 [PubMed]

Florian RV. (2012). The chronotron: a neuron that learns to fire temporally precise spike patterns. PloS one. 7 [PubMed]

Foehring RC, Lorenzon NM. (1999). Neuromodulation, development and synaptic plasticity. Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale. 53 [PubMed]

Froemke RC, Poo MM, Dan Y. (2005). Spike-timing-dependent synaptic plasticity depends on dendritic location. Nature. 434 [PubMed]

Gardner E. (1988). The space of interactions in neural networks models J Phys. A21

Ghosh-Dastidar S, Adeli H. (2009). Spiking neural networks. International journal of neural systems. 19 [PubMed]

Gütig R, Sompolinsky H. (2006). The tempotron: a neuron that learns spike timing-based decisions. Nature neuroscience. 9 [PubMed]

Hu J, Tang H, Tan KC, Li H, Shi L. (2013). A spike-timing-based integrated model for pattern recognition. Neural computation. 25 [PubMed]

Ito M. (2000). Mechanisms of motor learning in the cerebellum. Brain research. 886 [PubMed]

Izhikevich EM. (2003). Simple model of spiking neurons. IEEE transactions on neural networks. 14 [PubMed]

Kistler WM, Gerstner W. (2002). Spiking neuron models.

Knudsen EI. (1994). Supervised learning in the brain. The Journal of neuroscience : the official journal of the Society for Neuroscience. 14 [PubMed]

Lisman J, Spruston N. (2005). Postsynaptic depolarization requirements for LTP and LTD: a critique of spike timing-dependent plasticity. Nature neuroscience. 8 [PubMed]

Maass W. (1997). Networks of spiking neurons: The third generation of neural network models Neural Networks. 10

Mohemmed A, Schliebs S, Matsuda S, Kasabov N. (2012). Span: spike pattern association neuron for learning spatio-temporal spike patterns. International journal of neural systems. 22 [PubMed]

Ngezahayo A, Schachner M, Artola A. (2000). Synaptic activity modulates the induction of bidirectional synaptic changes in adult mouse hippocampus. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]

Ponulak F. (2005). ReSuMe-new supervised learning method for spiking neural networks Institute Of Control And Information Engineering.

Ponulak F, Kasiński A. (2010). Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting. Neural computation. 22 [PubMed]

Rieke F, Warland D, de Ruyter van Steveninck, R, Bialek B. (1997). Spikes: Exploring The Neural Code.

Seamans JK, Yang CR. (2004). The principal features and mechanisms of dopamine modulation in the prefrontal cortex. Progress in neurobiology. 74 [PubMed]

Shadlen MN, Movshon JA. (1999). Synchrony unbound: a critical evaluation of the temporal binding hypothesis. Neuron. 24 [PubMed]

Thach W. (1996). On the specific role of the cerebellum in motor learning and cognition: clues from PET activation and lesion studies in man Behav Brain Sci. 19

Widrow B, Lehr MA. (1990). Thirty years of adaptive neural networks: Perceptron, Madaline, and backpropagation Proc IEEE. 78

Yu Q, Tang H, Tan KC, Li H. (2013). Rapid feedforward computation by temporal encoding and learning with spiking neurons. IEEE transactions on neural networks and learning systems. 24 [PubMed]

van Rossum MC. (2001). A novel spike distance. Neural computation. 13 [PubMed]

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