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

Hass J, Hertäg L, Durstewitz D. (2016). A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity. PLoS computational biology. 12 [PubMed]

• A detailed data-driven network model of prefrontal cortex (Hass et al 2016) [Model]

Karmarkar UR, Buonomano DV. (2007). Timing in the absence of clocks: encoding time in neural network states. Neuron. 53 [PubMed]

Machens CK, Brody CD. (2008). Design of continuous attractor networks with monotonic tuning using a symmetry principle. Neural computation. 20 [PubMed]

Miller P. (2006). Analysis of spike statistics in neuronal systems with continuous attractors or multiple, discrete attractor States. Neural computation. 18 [PubMed]

Okamoto H, Isomura Y, Takada M, Fukai T. (2007). Temporal integration by stochastic recurrent network dynamics with bimodal neurons. Journal of neurophysiology. 97 [PubMed]

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

Wong KF, Wang XJ. (2006). A recurrent network mechanism of time integration in perceptual decisions. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]