Quantitative modeling of the emergence of macroscopic grid-like representations

Author:

Bin Khalid Ikhwan123ORCID,Reifenstein Eric T124ORCID,Auer Naomi2ORCID,Kunz Lukas5ORCID,Kempter Richard123ORCID

Affiliation:

1. Bernstein Center for Computational Neuroscience Berlin

2. Institute for Theoretical Biology, Department of Biology, Humboldt-Universität zu Berlin

3. Einstein Center for Neurosciences Berlin

4. Department of Mathematics and Computer Science, Freie Universität Berlin

5. Department of Epileptology, University Hospital Bonn

Abstract

When subjects navigate through spatial environments, grid cells exhibit firing fields that are arranged in a triangular grid pattern. Direct recordings of grid cells from the human brain are rare. Hence, functional magnetic resonance imaging (fMRI) studies proposed an indirect measure of entorhinal grid-cell activity, quantified as hexadirectional modulation of fMRI activity as a function of the subject’s movement direction. However, it remains unclear how the activity of a population of grid cells may exhibit hexadirectional modulation. Here, we use numerical simulations and analytical calculations to suggest that this hexadirectional modulation is best explained by head-direction tuning aligned to the grid axes, whereas it is not clearly supported by a bias of grid cells toward a particular phase offset. Firing-rate adaptation can result in hexadirectional modulation, but the available cellular data is insufficient to clearly support or refute this option. The magnitude of hexadirectional modulation furthermore depends considerably on the subject’s navigation pattern, indicating that future fMRI studies could be designed to test which hypothesis most likely accounts for the fMRI measure of grid cells. Our findings also underline the importance of quantifying the properties of human grid cells to further elucidate how hexadirectional modulations of fMRI activity may emerge.

Funder

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

Einstein Center for Neurosciences Berlin

National Institutes of Health

German Research Foundation

Publisher

eLife Sciences Publications, Ltd

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