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Optimizing Measures of Information Encoding in Astrocytic Calcium Signals

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Brain Informatics (BI 2022)

Abstract

While most models of brain information encoding focus on neurons, recent studies have shown that calcium dynamics of astrocytes, the major class of non-neural cells in the brain, can add information about key cognitive variables that is not found in the activity of nearby neurons. This raises the question of what could be the contribution of astrocytes in information processing, and calls for analysis tools to characterize this contribution. Here we construct simulations with realistic dependencies of astrocytic activity on external variables and we use these simulations to understand how to optimally set parameters of information theoretic analysis of astrocytic activities. Applications of our techniques to simulated and real astrocytic data show how to set parameters of information analyses that provide conservative, yet reliable, estimates of astrocytic calcium dynamics contribution to circuit-level brain information processing.

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References

  1. Bellmund, J.L.S., Gärdenfors, P., Moser, E.I., Doeller, C.F.: Navigating cognition: spatial codes for human thinking. Science 362(6415), eaat6766 (2018)

    Google Scholar 

  2. Chen, T.W., et al.: Ultrasensitive fluorescent proteins for imaging neuronal activity. Nature 499(7458), 295–300 (2013)

    Article  Google Scholar 

  3. Curreli, S., Bonato, J., Romanzi, S., Panzeri, S., Fellin, T.: Complementary encoding of spatial information in hippocampal astrocytes. PLoS Biol. 20(3), e3001530 (2022)

    Article  Google Scholar 

  4. Dombeck, D.A., Harvey, C.D., Tian, L., Looger, L.L., Tank, D.W.: Functional imaging of hippocampal place cells at cellular resolution during virtual navigation. Nat. Neurosci. 13(11), 1433–1440 (2010)

    Article  Google Scholar 

  5. Doron, A., et al.: Hippocampal astrocytes encode reward location. bioRxiv 2021.07.07.451434 (2021)

    Google Scholar 

  6. Hartley, T., Lever, C., Burgess, N., O’Keefe, J.: Space in the brain: how the hippocampal formation supports spatial cognition. Phil. Trans. R. Soc. B 369(1635), 20120510 (2014)

    Article  Google Scholar 

  7. Harvey, C.D., Collman, F., Dombeck, D.A., Tank, D.W.: Intracellular dynamics of hippocampal place cells during virtual navigation. Nature 461(7266), 941–946 (2009)

    Article  Google Scholar 

  8. Haustein, M.D., et al.: Conditions and constraints for astrocyte calcium signaling in the hippocampal mossy fiber pathway. Neuron 82(2), 413–429 (2014)

    Article  MathSciNet  Google Scholar 

  9. Ince, R.A.A., Mazzoni, A., Bartels, A., Logothetis, N.K., Panzeri, S.: A novel test to determine the significance of neural selectivity to single and multiple potentially correlated stimulus features. J. Neurosci. Meth. 210(1), 49–65 (2012)

    Article  Google Scholar 

  10. Lines, J., Martin, E.D., Kofuji, P., Aguilar, J., Araque, A.: Astrocytes modulate sensory-evoked neuronal network activity. Nat. Commun. 11(1), 3689 (2020)

    Article  Google Scholar 

  11. Merten, K., Folk, R.W., Duarte, D., Nimmerjahn, A.: Astrocytes encode complex behaviorally relevant information. bioRxiv 2021.10.09.463784 (2021)

    Google Scholar 

  12. Moser, E.I., Moser, M.B., McNaughton, B.L.: Spatial representation in the hippocampal formation: a history. Nat. Neurosci. 20(11), 1448–1464 (2017)

    Article  Google Scholar 

  13. Moser, M.B., Rowland, D.C., Moser, E.I.: Place cells, grid cells, and memory. Cold Spring Harb. Perspect. Biol. 7(2), a021808 (2015)

    Article  Google Scholar 

  14. Nemenman, I., Bialek, W., de Ruyter van Steveninck, R.: Entropy and information in neural spike trains: progress on the sampling problem. Phys. Rev. E 69(5), 056111 (2004)

    Google Scholar 

  15. Nemenman, I., Shafee, F., Bialek, W.: Entropy and inference. In: Dietterich, T.G., Becker, S., Ghahramani, Z. (eds.) Revisited Advances in Neural Information Processing Systems, vol. 14, pp. 95–100. MIT Press, Cambridge (2002)

    Google Scholar 

  16. O’Keefe, J., Dostrovsky, J.: The hippocampus as a spatial map: preliminary evidence from unit activity in the freely-moving rat. Brain Res. 34(1), 171–175 (1971)

    Article  Google Scholar 

  17. Paninski, L.: Estimation of entropy and mutual information. Neural Comput. 15(6), 1191–1253 (2003)

    Article  Google Scholar 

  18. Panzeri, S., Senatore, R., Montemurro, M.A., Petersen, R.S.: Correcting for the sampling bias problem in spike train information measures. J. Neurophysiol. 98(3), 1064–1072 (2007)

    Article  Google Scholar 

  19. Panzeri, S., Treves, A.: Analytical estimates of limited sampling biases in different information measures. Netw. Comput. Neural Syst. 7(1), 87–107 (1996)

    MATH  Google Scholar 

  20. Quiroga, R.Q., Panzeri, S.: Extracting information from neuronal populations: information theory and decoding approaches. Nat. Rev. Neurosci. 10(3), 173–185 (2009)

    Article  Google Scholar 

  21. Schummers, J., Yu, H., Sur, M.: Tuned responses of astrocytes and their influence on hemodynamic signals in the visual cortex. Science 320(5883), 1638–1643 (2008)

    Article  Google Scholar 

  22. Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27(3), 379–423 (1948)

    Article  MathSciNet  Google Scholar 

  23. Shigetomi, E., et al.: Imaging calcium microdomains within entire astrocyte territories and endfeet with GCaMPs expressed using adeno-associated viruses. J. Gen. Physiol. 141(5), 633–647 (2013)

    Article  Google Scholar 

  24. Srinivasan, R., et al.: Ca\(^{2+}\) signaling in astrocytes from Ip3r2\(^{-/-}\) mice in brain slices and during startle responses in vivo. Nat. Neurosci. 18(5), 708–717 (2015)

    Article  Google Scholar 

  25. Stobart, J.L., et al.: Cortical circuit activity evokes rapid astrocyte calcium signals on a similar timescale to neurons. Neuron 98(4), 726–735.e4 (2018)

    Google Scholar 

  26. Strong, S.P., Koberle, R., de Ruyter van Steveninck, R.R., Bialek, W.: Entropy and information in neural spike trains. Phys. Rev. Lett. 80(1), 197–200 (1998)

    Google Scholar 

  27. Wang, X., et al.: Astrocytic Ca\(^{2+}\) signaling evoked by sensory stimulation in vivo. Nat. Neurosci. 9(6), 816–823 (2006)

    Article  Google Scholar 

  28. Yu, X., Nagai, J., Khakh, B.S.: Improved tools to study astrocytes. Nat. Rev. Neurosci. 21(3), 121–138 (2020)

    Article  Google Scholar 

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Correspondence to Jacopo Bonato .

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Bonato, J., Curreli, S., Fellin, T., Panzeri, S. (2022). Optimizing Measures of Information Encoding in Astrocytic Calcium Signals. In: Mahmud, M., He, J., Vassanelli, S., van Zundert, A., Zhong, N. (eds) Brain Informatics. BI 2022. Lecture Notes in Computer Science(), vol 13406. Springer, Cham. https://doi.org/10.1007/978-3-031-15037-1_10

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  • DOI: https://doi.org/10.1007/978-3-031-15037-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15036-4

  • Online ISBN: 978-3-031-15037-1

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