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• A CORF computational model of a simple cell that relies on LGN input (Azzopardi & Petkov 2012) [Model]

Escabí MA, Nassiri R, Miller LM, Schreiner CE, Read HL. (2005). The contribution of spike threshold to acoustic feature selectivity, spike information content, and information throughput. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]

Köndgen H et al. (2008). The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro. Cerebral cortex (New York, N.Y. : 1991). 18 [PubMed]

• Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008) [Model]

Lin RJ, Jaeger D. (2011). Using computer simulations to determine the limitations of dynamic clamp stimuli applied at the soma in mimicking distributed conductance sources. Journal of neurophysiology. 105 [PubMed]

Nykamp DQ. (2003). Spike correlation measures that eliminate stimulus effects in response to white noise. Journal of computational neuroscience. 14 [PubMed]

Paninski L. (2006). The spike-triggered average of the integrate-and-fire cell driven by gaussian white noise. Neural computation. 18 [PubMed]

Pospischil M, Piwkowska Z, Rudolph M, Bal T, Destexhe A. (2007). Calculating event-triggered average synaptic conductances from the membrane potential. Journal of neurophysiology. 97 [PubMed]

• Code to calc. spike-trig. ave (STA) conduct. from Vm (Pospischil et al. 2007, Rudolph et al. 2007) [Model]

Powers RK, Dai Y, Bell BM, Percival DB, Binder MD. (2005). Contributions of the input signal and prior activation history to the discharge behaviour of rat motoneurones. The Journal of physiology. 562 [PubMed]

• Contibutions of input and history to motoneuron output (Powers et al 2005) [Model]

Pugh MC, Ringach DL, Shapley R, Shelley MJ. (2000). Computational modeling of orientation tuning dynamics in monkey primary visual cortex. Journal of computational neuroscience. 8 [PubMed]

Sharpee T, Rust NC, Bialek W. (2004). Analyzing neural responses to natural signals: maximally informative dimensions. Neural computation. 16 [PubMed]

Zilany MS, Bruce IC. (2006). Modeling auditory-nerve responses for high sound pressure levels in the normal and impaired auditory periphery. The Journal of the Acoustical Society of America. 120 [PubMed]

• Cat auditory nerve model (Zilany and Bruce 2006, 2007) [Model]