Information Technology Reference
In-Depth Information
center-surround receptive field of the ON channel detects changes in contrast
and therefore edges of the presented stimuli. Moreover, we found that the OFF
channel (inhibition) is performing a gain control of over the ON channel retinal
inputs. The ecacy of the gain control circuit is determined, not only by stim-
uli features, as for instance the stimulus-background contrast, but also by the
activity mode of the LGN cells. Tonic activity in relay cells seems more suitable
than bursting activity to detect edges in static stimulus.
The next step will consist on analyzing the difference between the model pre-
dictions and the experimental observed activity. To facilitate this future compar-
ison and the relationship between the neural activity and the stimulus features,
we are realistically modeling all the ionic channels known in both relay cells and
interneurons [8,9].
References
1. Madar´asz,M.,Gerle,J.,Hajdu,F.,Somogyi,G.,Tombol, T.: Quantitative histo-
logical 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)
2. Ringach, D.L.: Haphazard Wiring of Simple Receptive Fields and Orientation
Columns in Visual Cortex. Journal of Neurophysiology 92, 468-476 (2007)
3. Yeh, C.I., Stoelzel, C.R., Weng, C., Alonso, J.M.: Functional Consequences of Neu-
ral Divergence Within the Retinogeniculate Pathway. J. Neurophysiol 101 (2009)
4. 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)
5. Allen, E.A., Freeman, R.D.: Dynamic Spatial Processing Originates in Early Visual
Pathways (2006)
6. Brette, R., Gerstner, W.: Adaptive exponential Integrate-and-Fire model as an
effective description of neuronal activity. J. Neurophysiol. 94(5), 3637-3642 (2005)
7. Gewaltig, M.O., Diesmann, M.: Nest (neural simulation tool). Scholarpedia 2(4),
1430 (2007)
8. McCormick, D.A., Huguenard, J.: A model of the electrophysiological properties of
thalamocortical relay neurons. Journal of Neurophysiology 68, 1384-1400 (1992)
9. Huguenard, J.R., McCormick, D.A.: Voltage clamp simulations of currents involved
in rhythmic oscillations in thalamic relay neurones. Journal of Neurophysiology 68,
1373-1383 (1992)
10. Palmer, S.E.: Vision Science. MIT, Cambridge (1999)
11. Dayan, P., Abbott, L.F.: Theorical Neuroscience. MIT, Cambridge (2001)
12. Rieke, F., Warland, D.: Spikes exploring the neural code. MIT (1999)
13. Koch, C.: Biophysics of Computation. Oxford University Press, Oxford (1999)
14. Manzon, M.M., Rodrıguez, M.M., Otero, L.M.: DEA. How the thalamus chages
What the cat
s eye tells the cat
s brain (2009)
Search WWH ::
Custom Search