Azzopardi G, Petkov N. (2012). A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model. Biological cybernetics. 106 [PubMed]

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

Bhaumik B, Mathur M. (2003). A cooperation and competition based simple cell receptive field model and study of feed-forward linear and nonlinear contributions to orientation selectivity. Journal of computational neuroscience. 14 [PubMed]

Bush P, Priebe N. (1998). GABAergic inhibitory control of the transient and sustained components of orientation selectivity in a model microcolumn in layer 4 of cat visual cortex. Neural computation. 10 [PubMed]

Cai D, DeAngelis GC, Freeman RD. (1997). Spatiotemporal receptive field organization in the lateral geniculate nucleus of cats and kittens. Journal of neurophysiology. 78 [PubMed]

Casile A, Rucci M. (2006). A theoretical analysis of the influence of fixational instability on the development of thalamocortical connectivity. Neural computation. 18 [PubMed]

Dimitrov AG, Gedeon T. (2006). Effects of stimulus transformations on estimates of sensory neuron selectivity. Journal of computational neuroscience. 20 [PubMed]

Golomb D et al. (2017). Mechanisms underlying a thalamocortical transformation during active tactile sensation PLoS Comput Biol. 13(6)

• L4 cortical barrel NN model receiving thalamic input during whisking or touch (Gutnisky et al. 2017) [Model]

Grossberg S, Hong S. (2006). A neural model of surface perception: lightness, anchoring, and filling-in. Spatial vision. 19 [PubMed]

Keane A, Henderson JA, Gong P. (2018). Dynamical patterns underlying response properties of cortical circuits. Journal of the Royal Society, Interface. 15 [PubMed]

• Dynamical patterns underlying response properties of cortical circuits (Keane et al 2018) [Model]

Kenyon GT, Theiler J, George JS, Travis BJ, Marshak DW. (2004). Correlated firing improves stimulus discrimination in a retinal model. Neural computation. 16 [PubMed]

Kobayashi R et al. (2019). Reconstructing neuronal circuitry from parallel spike trains. Nature communications. 10 [PubMed]

• GLMCC validation neural network model (Kobayashi et al. 2019) [Model]

Kovacic G, Tao L, Cai D, Shelley MJ. (2008). Theoretical analysis of reverse-time correlation for idealized orientation tuning dynamics. Journal of computational neuroscience. 25 [PubMed]

• Reverse-time correlation analysis for idealized orientation tuning dynamics (Kovacic et al. 2008) [Model]

Martínez-Cañada P et al. (2018). Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells. PLoS computational biology. 14 [PubMed]

• Cortical feedback alters visual response properties of dLGN relay cells (Martínez-Cañada et al 2018) [Model]

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

Park J et al. (2019). Contribution of apical and basal dendrites to orientation encoding in mouse V1 L2/3 pyramidal neurons Nature Communications. 10

• Orientation preference in L23 V1 pyramidal neurons (Park et al 2019) [Model]

Sailamul P, Jang J, Paik SB. (2017). Synaptic convergence regulates synchronization-dependent spike transfer in feedforward neural networks. Journal of computational neuroscience. 43 [PubMed]

• Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017) [Model]

Shelley M, McLaughlin D. (2002). Coarse-grained reduction and analysis of a network model of cortical response: I. Drifting grating stimuli. Journal of computational neuroscience. 12 [PubMed]

Veredas FJ, Vico FJ, Alonso JM. (2005). Factors determining the precision of the correlated firing generated by a monosynaptic connection in the cat visual pathway. The Journal of physiology. 567 [PubMed]