15–16 Jun 2023
Virtual
Europe/Berlin timezone

Visual alpha generators in a full-density spiking thalamocortical model

T5
16 Jun 2023, 09:35
20m
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Speaker

Renan Oliveira Shimoura (INM-6/IAS-6/INM-10, Forschungszentrum Jülich, Germany)

Description

The alpha rhythm (~10 Hz) is a prominent feature in the electroencephalograms of various mammals and is associated with reduced visual attention and with functions such as timing regulation and transmission facilitation [1]. Although the exact mechanism of alpha rhythm generation is still unclear, the thalamus and cortex have been proposed as possible protagonists. In this study, a full-density spiking thalamocortical model of neural circuits in the primary visual cortex and the lateral geniculate nucleus was built using the NEST simulator, to investigate two potential alpha rhythm generators. The first mechanism involves rhythmic bursts produced by pyramidal neurons in layer 5 at around 10 Hz [2], while the second mechanism relies on a thalamocortical loop delay of approximately 100 ms [3]. The model comprises excitatory and inhibitory populations of adaptive exponential integrate-and-fire model neurons. The resulting spiking activity was recorded and compared with experimental data using power spectra and Granger causality analysis. The results indicate that both mechanisms can generate and spread alpha oscillations but with different laminar patterns. The first mechanism suggests that the alpha rhythm mainly originates in layers 5 and 2/3 (similar as in [4]), while the second mechanism points to layers 4 and 6 (similar as in [5]). Combining both mechanisms results in a summation of effects, with the alpha range emanating from all layers. The findings suggest that the two mechanisms may contribute differently to alpha rhythms, with distinct laminar patterns, and may be expressed either separately or in tandem under different conditions.

Acknowledgements

Supported by the EU Grant 785907 and 945539 (HBP), the Jülich-Aachen Research Alliance (JARA), and DFG SPP 2041 "Computational Connectomics". ACR is partially supported by CNPq fellowship Grant 303359/2022-6, and the FAPESP funded NeuroMat project 2013/07699-0.

References

[1] Clayton, M. S., Yeung, N., & Cohen Kadosh, R. (2017). European Journal of Neuroscience, 48(7), 2498-2508.
[2] Silva, L., Amitai, Y., & Connors, B. (1991). Science, 251(4992), 432–435.
[3] Roberts, J. A., & Robinson, P. A. (2008). Journal of Theoretical Biology, 253(1), 189–201.
[4] Van Kerkoerle, T., Self, M. W., Dagnino, B., Gariel-Mathis, M. A., Poort, J., Van Der Togt, C., & Roelfsema, P. R. (2014). Proceedings of the National Academy of Sciences, 111(40), 14332-14341.
[5] Bollimunta, A., Mo, J., Schroeder, C. E., & Ding, M. (2011). Journal of Neuroscience, 31(13), 4935-4943.

Preferred form of presentation Poster & advertising flash talk
Topic area models and applications
Keywords microcircuit model, thalamocortical oscillations, alpha rhythm, visual cortex
Speaker time zone UTC+2
I agree to the copyright and license terms Yes
I agree to the declaration of honor Yes

Primary author

Renan Oliveira Shimoura (INM-6/IAS-6/INM-10, Forschungszentrum Jülich, Germany)

Co-authors

Prof. Antonio Carlos Roque (Department of Physics, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil) Sacha J van Albada (INM-6, IAS-6, INM-10, Forschungszentrum Jülich, Germany; University of Cologne, Germany)

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