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• Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006) [Model]

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Hamaguchi K, Okada M, Aihara K. (2007). Variable timescales of repeated spike patterns in synfire chain with Mexican-hat connectivity. Neural computation. 19 [PubMed]

Hamaguchi K, Okada M, Yamana M, Aihara K. (2005). Correlated firing in a feedforward network with Mexican-hat-type connectivity. Neural computation. 17 [PubMed]

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• Polychronization: Computation With Spikes (Izhikevich 2005) [Model]

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Jolivet R et al. (2008). A benchmark test for a quantitative assessment of simple neuron models. Journal of neuroscience methods. 169 [PubMed]

• Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]

Jolivet R, Rauch A, Lüscher HR, Gerstner W. (2006). Predicting spike timing of neocortical pyramidal neurons by simple threshold models. Journal of computational neuroscience. 21 [PubMed]

• Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]

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• Formation of synfire chains (Jun and Jin 2007) [Model]

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• Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON) [Model]
• Multi-timescale adaptive threshold model (Kobayashi et al 2009) [Model]

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

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• Temporal integration by stochastic recurrent network (Okamoto et al. 2007) [Model]

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• Emergence of spatiotemporal sequences in spiking neuronal networks (Spreizer et al 2019) [Model]

Teramae JN, Fukai T. (2007). Local cortical circuit model inferred from power-law distributed neuronal avalanches. Journal of computational neuroscience. 22 [PubMed]

Tiesinga PH, Toups JV. (2005). The possible role of spike patterns in cortical information processing. Journal of computational neuroscience. 18 [PubMed]

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• Neural transformations on spike timing information (Tripp and Eliasmith 2007) [Model]