Contrast Enhancement Mechanisms in the Retinothalamic Circuitry
The center-surround organization of the receptive fields of retinal ganglion cells highlights the presence of contrast in visual stimuli. As the receptive fields of thalamic relay cells follow the same organization, it is assumed that nothing or little processing is carried out at the thalamic stage before the information reaches higher processing areas. However, recent data in cat showing that the number of thalamic relay cells doubles those of retinal ganglion cells opens the door to question how contrast information is kept in an enlarged representation of the visual stimulus at the thalamic stage. This paper is aimed at providing a plausible explanation by means of simulations performed with a realistic dynamic model of the retinothalamic circuit.
KeywordsGanglion Cell Retinal Ganglion Cell Lateral Geniculate Nucleus Channel Output Spike Count
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- 1.Alonso, J.M., Yeh, C.I., Weng, C., Stoelzel, C.: Retinogeniculate connections: a balancing act between connection specificity and receptive field diversity. Progress in Brain Research 154 (2006)Google Scholar
- 2.Allen, E.A., Freeman, R.D.: Dynamic Spatial Processing Originates in Early Visual Pathways (2006)Google Scholar
- 3.Izhikevich, E.M.: Simple Model of Spiking Neurons. IEEE Transactions of Neural Networks 14(6) (November 2003)Google Scholar
- 5.Madarász, M., Gerle, J., Hajdu, F., Somogyi, G., Tombol, T.: Quantitative histological studies on the lateral geniculate nucleus in the cat. II. Cell numbers and densities in the several layers. J. Hirnforsch. 19(2), 159–164 (1978)Google Scholar
- 7.Yeh, C.I., Stoelzel, C.R., Weng, C., Alonso, J.M.: Functional Consequences of Neural Divergence Within the Retinogeniculate Pathway. J. Neurophysiol. 101 (2009)Google Scholar
- 8.McCormick, D.A., Huguenard, J.: A model of the electrophysiological properties of thalamocortical relay neurons. Journal of Neurophysiology 68, 1384–1400 (1992)Google Scholar
- 9.Ferreiroa, R., Sanchez, E.: Functional properties of a realistic model of dLGN. Neurocomputing (2013)Google Scholar
- 10.Palmer, S.E.: Vision Science. MIT (1999)Google Scholar
- 11.Dayan, P., Abbott, L.F.: Theorical Neuroscience. MIT (2001)Google Scholar
- 12.Rieke, F., Warland, D.: Spikes exploring the neural code. MIT (1999)Google Scholar
- 13.Koch, C.: Biophysics of Computation. Oxford University Press (1999)Google Scholar
- 14.Manzón, M.M., Rodríguez, M.M., Otero, L.M.: DEA. How the thalamus chages What the cat’s eye tells the cat’s brain (2009)Google Scholar