Abstract
Recent experimental study reports existence of complex type of interneurons in the primary visual cortex. The response of these inhibitory cells depends mainly upon feed-forward LGN inputs. The goal of this study is to determine the role of these cells in modulating the response of simple cells. Here we demonstrate that if the inhibitory contribution due to these cells balances the feed-forward excitatory inputs the spike response of cortical cell becomes sharply tuned. Using a single cell integrate and fire neuron model we show that the ratio of average inhibitory to excitatory conductance controls the balance between excitation and inhibition. We find that many different values of ratio can result in balanced condition. However, the response of the cell is not sharply tuned for each of these ratios. In this study we explicitly determine the best value of ratio needed to make the response of the cell sharply tuned.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hubel, D.H., Wiesel, T.N.: Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex. J. Physiol. 160, 106–154 (1962)
Ferster, D., Chung, S., Wheat, H.: Orientation selectivity of thalamic input to simple cells of cat visual cortex. Nature 380, 249–252 (1996)
Kara, P., Pezaris, J.S., Yurgenson, S., Reid, R.C.: The spatial receptive field of thalamic inputs to single cortical simple cells revealed by the interaction of visual and electrical stimulation. Proc. Natl. Acad. Sci. USA 99, 16261–16266 (2002)
Gardner, J.L., Anzai, A., Ohzawa, I., Freeman, R.D.: Linear and nonlinear contributions to orientation tuning of simple cells in the cat’s striate cortex. Vis. Neurosci. 16, 1115–1121 (1999)
Azouz, R., Gray, C.M.: Adaptive coincidence detection and dynamic gain control in visual cortical neurons in vivo. Neuron 37, 513–523 (2003)
Ferster, D., Miller, K.D.: Neural mechanisms of orientation selectivity in the visual cortex. Annu. Rev. Neurosci. 23, 441–471 (2000)
Shapley, R., Hawken, M., Ringach, D.L.: Dynamics of orientation selectivity in the primary visual cortex and the importance of cortical inhibition. Neuron 38, 689–699 (2003)
Mariño, J., Schummers, J., Lyon, D.C., Schwabe, L., Beck, O., Wiesing, P., Obermayer, K., Sur, M.: Invariant computations in local cortical networks with balanced excitation and inhibition. Nat. Neurosci. 8, 194–201 (2005)
Hirsch, J.A., Martinez, L.M., Pillai, C., Alonso, J.M., Wang, Q., Sommer, F.T.: Functionally distinct inhibitory neurons at the first stage of visual cortical processing. Nat. Neurosci. 12, 1300–1308 (2003)
Lauritzen, T.Z., Miller, K.D.: Different roles for simple cell and complex cell inhibition in V1. J. Neurosci. 32, 10201–10213 (2003)
Troyer, T.W., Krukowski, A., Priebe, N.J., Miller, K.D.: Contrast-invariant orientation tuning in cat visual cortex: thalamocortical input tuning and correlation-based intracortical connectivity. J. Neurosci. 18, 5908–5927 (1998)
Garg, A.R., Bhaumik, B., Obermayer, K.: The balance between excitation and inhibition not only leads to variable discharge of cortical neurons but also to contrast invariant orientation tuning. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds.) ICONIP 2004. LNCS, vol. 3316, pp. 90–95. Springer, Heidelberg (2004)
Garg, A.R., Bhaumik, B., Obermayer, K.: Variable discharge pattern and contrast invariant orientation tuning of a simple cell A modeling study. Neur. Inf. Proc. Let. & Rev. 6, 59–68 (2005)
Somers, D., Nelson, S., Sur, M.: An emergent model of orientation selectivity in cat visual cortical simple cells. J. Neurosci. 15, 5448–5465 (1995)
Wörgötter, F., Koch, C.: A detailed model of the primary visual pathway in the cat: Comparison of afferent excitatory and intracortical inhibitory connection schemes for orientation selectivity. J. Neurosci 11(7), 1959–1979 (1991)
Song, S., Miller, K.D., Abbott, L.F.: Competitive Hebbian learning through spike timing dependent plasticity Nat. Neurosci. 3, 919–926 (2000)
Shadlen, M.N., Newsome, W.T.: The variable discharge of cortical neurons: Implications for connectivity, computation and information coding. J. Neurosci. 18, 3870–3896 (1998)
Ferster, D.: Orientation selectivity of synaptic potentials in neurons of cat primary visual cortex. J. Neurosci. 6(5), 1284–1301 (1986)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Garg, A.R., Bhaumik, B. (2006). Ratio of Average Inhibitory to Excitatory Conductance Modulates the Response of Simple Cell. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893028_10
Download citation
DOI: https://doi.org/10.1007/11893028_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46479-2
Online ISBN: 978-3-540-46480-8
eBook Packages: Computer ScienceComputer Science (R0)