Development of spatial coarse-to-fine processing in the visual pathway

Alitto, H., & Usrey, W. (2003). Corticothalamic feedback and sensory processing. Current Opinion in Neurobiology, 13(4), 440–445.

Allen, E., & Freeman, R. (2006). Dynamic spatial processing originates in early visual pathways. The Journal of Neuroscience, 26(45), 11,763–11,774.

Alonso, J., Usrey, W., Reid, R. (2001). Rules of connectivity between geniculate cells and simple cells in cat primary visual cortex. The Journal of Neuroscience, 21(11), 4002–4015.

Andolina, I., Jones, H., Sillito, A. (2012). The effects of cortical feedback on the spatial properties of relay cells in the lateral geniculate nucleus. Journal of Neurophysiology. doi: 10.1152/jn.00194.2012 .

Bar, M. (2004). Visual objects in context. Nature Reviews Neuroscience, 5(8), 617–629.

Bredfeldt, C., & Ringach, D. (2002). Dynamics of spatial frequency tuning in macaque v1. The Journal of Neuroscience, 22(5), 1976–1984.

Briggs, F., & Usrey, W. (2008). Emerging views of corticothalamic function. Current Opinion in Neurobiology, 18(4), 403–407.

Cai, D., DeAngelis, G., Freeman, R. (1997). Spatiotemporal receptive field organization in the lateral geniculate nucleus of cats and kittens. Journal of Neurophysiology, 78(2), 1045–1061.

Cudeiro, J., & Sillito, A. (1996). Spatial frequency tuning of orientation-discontinuity-sensitive corticofugal feedback to the cat lateral geniculate nucleus. The Journal of Physiology, 490(Pt 2), 481–492.

De Labra, C., Rivadulla, C., Grieve, K., Mariño, J., Espinosa, N., Cudeiro, J. (2007). Changes in visual responses in the feline dlgn: selective thalamic suppression induced by transcranial magnetic stimulation of v1. Cerebral Cortex, 17(6), 1376–1385.

DeAngelis, G., Ohzawa, I., Freeman, R. (1993). Spatiotemporal organization of simple-cell receptive fields in the cat’s striate cortex. I. general characteristics and postnatal development. Journal of Neurophysiology, 69(4), 1091–1117.

Einevoll, G., & Plesser, H. (2011). Extended difference-of-Gaussians model incorporating cortical feedback for relay cells in the lateral geniculate nucleus of cat. Cognitive Neurodynamics, 6, 307–324.

Enroth-Cugell, C., Robson, J., Schweitzer-Tong, D., Watson, A. (1983). Spatio-temporal interactions in cat retinal ganglion cells showing linear spatial summation. The Journal of Physiology, 341(1), 279–307.

Frazor, R., Albrecht, D., Geisler, W., Crane, A. (2004). Visual cortex neurons of monkeys and cats: temporal dynamics of the spatial frequency response function. Journal of Neurophysiology, 91(6), 2607–2627.

Gillespie, D., Lampl, I., Anderson, J., Ferster, D. (2001). Dynamics of the orientation-tuned membrane potential response in cat primary visual cortex. Nature Neuroscience, 4, 1014–1019.

Grieve, K., & Sillito, A. (1995). Differential properties of cells in the feline primary visual cortex providing the corticofugal feedback to the lateral geniculate nucleus and visual claustrum. The Journal of Neuroscience, 15(7), 4868–4874.

Hayot, F., & Tranchina, D. (2001). Modelling corticofugal feedback and the sensitivity of lateral genculate neurons to orientation discontinuity. Visual Neuroscience, 18(6), 865–878.

Köhn, J., & Wörgötter, F. (1996). Corticofugal feedback can reduce the visual latency of responses to antagonistic stimuli. Biological Cybernetics, 75(3), 199–209.

Mazer, J., Vinje, W., McDermott, J., Schiller, P., Gallant, J. (2002). Spatial frequency and orientation tuning dynamics in area v1. Proceedings of the National Academy of Sciences, 99(3), 1645–1650.

Menz, M., & Freeman, R. (2003). Stereoscopic depth processing in the visual cortex: a coarse-to-fine mechanism. Nature Neuroscience, 6(1), 59–65.

Müller, J., Metha, A., Krauskopf, J., Lennie, P. (2001). Information conveyed by onset transients in responses of striate cortical neurons. The Journal of Neuroscience, 21(17), 6978–6990.

Murphy, P., & Sillito, A. (1987). Corticofugal feedback influences the generation of length tuning in the visual pathway. Nature, 329, 727–729.

Nishimoto, S., Arai, M., Ohzawa, I. (2005). Accuracy of subspace mapping of spatiotemporal frequency domain visual receptive fields. Journal of Neurophysiology, 93(6), 3524–3536.

Ringach, D. (2003). Look at the big picture (details will follow). Nature Neuroscience, 6(1), 7–8.

Ringach, D., Hawken, M., Shapley, R., et al (1997). Dynamics of orientation tuning in macaque primary visual cortex. Nature, 387(6630), 281–284.

Rivadulla, C., Martinez, L., Grieve, K., Cudeiro, J. (2003). Receptive field structure of burst and tonic firing in feline lateral geniculate nucleus. The Journal of Physiology, 553(2), 601–610.

Shapley, R., Hawken, M., Ringach, D. (2003). Dynamics of orientation selectivity in the primary visual cortex and the importance of cortical inhibition. Neuron, 38(5), 689–699.

Sherman, S., & Guillery, R. (2001). Exploring the thalamus. Academic Press.

Sillito, A., & Jones, H. (2002). Corticothalamic interactions in the transfer of visual information. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 357(1428), 1739–1752.

Troyer, T., Krukowski, A., Priebe, N., Miller, K. (1998). Contrast-invariant orientation tuning in cat visual cortex: thalamocortical input tuning and correlation-based intracortical connectivity. The Journal of Neuroscience, 18(15), 5908–5927.

Wang, W., Jones, H.E., Andolina, I.M., Salt, T.E., Sillito, A.M. (2006). Functional alignment of feedback effects from visual cortex to thalamus. Nature Neuroscience, 9(10), 1330–1336.

Weng, C., Yeh, C., Stoelzel, C., Alonso, J. (2005). Receptive field size and response latency are correlated within the cat visual thalamus. Journal of Neurophysiology, 93(6), 3537–3547.

Wörgötter, F., Nelle, E., Li, B., Funke, K. (1998). The influence of corticofugal feedback on the temporal structure of visual responses of cat thalamic relay cells. The Journal of Physiology, 509(3), 797–815.

Yousif, N., & Denham, M. (2007). The role of cortical feedback in the generation of the temporal receptive field responses of lateral geniculate nucleus neurons: a computational modelling study. Biological Cybernetics, 97(4), 269–277.