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Interstimulus Interval Affects Population Response in Visual Cortex in vivo

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9107))

Abstract

Understanding the underlying properties of neuronal populations over single neurons is a longstanding goal for both basic and applied neurosciences, with a specifically suitable application in the field of neuroprosthesis development, aimed to restore the loss of function of a visual cortex as a result of an injury or disease. We study how the interstimulus interval (ISI) period of a repeated visual stimulus influences the overall activity of rat visual cortex neuronal populations. Our results suggest that certain (3, 5 s) interstimulus intervals do have an increased stimulus response compared to longer or shorter ISIs for a 500 ms grating drifting stimulus. Based on the preliminary results shown in this article, we claim the need of a better understanding of the biological dynamics of the visual cortex neuronal populations in order to properly design suitable brain-machine interfaces for visual neurorehabilitation intracortical neuroprosthetics.

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References

  1. Ayaz, A., Saleem, A.B., Schölvinck, M.L., Carandini, M.: Locomotion controls spatial integration in mouse visual cortex. Curr. Biol. 23(10), 890–894 (2013)

    Article  Google Scholar 

  2. Bathellier, B., Ushakova, L., Rumpel, S.: Discrete neocortical dynamics predict behavioral categorization of sounds. Neuron 76(2), 435–449 (2012)

    Article  Google Scholar 

  3. Carandini, M.: Amplification of trial-to-trial response variability by neurons in visual cortex. PLoS Biol. 2(9), E264 (2004)

    Google Scholar 

  4. Druckmann, S., Chklovskii, D.B.: Neuronal circuits underlying persistent representations despite time varying activity. Curr. Biol. 22(22), 2095–2103 (2012)

    Article  Google Scholar 

  5. 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)

    Article  Google Scholar 

  6. Huberman, A.D., Niell, C.M.: What can mice tell us about how vision works? Trends Neurosci. 34(9), 464–473 (2011)

    Article  Google Scholar 

  7. Martínez-Trujillo, J., Treue, S.: Attentional modulation strength in cortical area mt depends on stimulus contrast. Neuron 35(2), 365–370 (2002)

    Article  Google Scholar 

  8. Niell, C.M., Stryker, M.P.: Modulation of visual responses by behavioral state in mouse visual cortex. Neuron 65(4), 472–479 (2010)

    Article  Google Scholar 

  9. Rabinovich, M.I., Varona, P.: Robust transient dynamics and brain functions. Front. Comput. Neurosci. 5, 24 (2011)

    Article  Google Scholar 

  10. Reynolds, J.H., Pasternak, T., Desimone, R.: Attention increases sensitivity of v4 neurons. Neuron 26(3), 703–714 (2000)

    Article  Google Scholar 

  11. Shuler, M.G., Bear, M.F.: Reward timing in the primary visual cortex. Science 311(5767), 1606–1609 (2006)

    Article  Google Scholar 

  12. Ulanovsky, N., Las, L., Nelken, I.: Processing of low-probability sounds by cortical neurons. Nat. Neurosci. 6(4), 391–398 (2003)

    Article  Google Scholar 

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Correspondence to Javier Alegre-Cortés .

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© 2015 Springer International Publishing Switzerland

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Alegre-Cortés, J., Fernández, E., Soto-Sánchez, C. (2015). Interstimulus Interval Affects Population Response in Visual Cortex in vivo . In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo-Moreo, F., Adeli, H. (eds) Artificial Computation in Biology and Medicine. IWINAC 2015. Lecture Notes in Computer Science(), vol 9107. Springer, Cham. https://doi.org/10.1007/978-3-319-18914-7_22

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  • DOI: https://doi.org/10.1007/978-3-319-18914-7_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18913-0

  • Online ISBN: 978-3-319-18914-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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