Multi-scale spiking network model of human cerebral cortex

Jari Pronold, Alexander van Meegen, Renan O. Shimoura, Hannah Vollenbroeker, Mario Senden, Claus C. Hilgetag, Rembrandt Bakker, Sacha J. van Albada*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Although the structure of cortical networks provides the necessary substrate for their neuronal activity, the structure alone does not suffice to understand the activity. Leveraging the increasing availability of human data, we developed a multi-scale, spiking network model of human cortex to investigate the relationship between structure and dynamics. In this model, each area in one hemisphere of the Desikan-Killiany parcellation is represented by a $1\,\mathrm{mm<^>{2}}$ column with a layered structure. The model aggregates data across multiple modalities, including electron microscopy, electrophysiology, morphological reconstructions, and diffusion tensor imaging, into a coherent framework. It predicts activity on all scales from the single-neuron spiking activity to the area-level functional connectivity. We compared the model activity with human electrophysiological data and human resting-state functional magnetic resonance imaging (fMRI) data. This comparison reveals that the model can reproduce aspects of both spiking statistics and fMRI correlations if the inter-areal connections are sufficiently strong. Furthermore, we study the propagation of a single-spike perturbation and macroscopic fluctuations through the network. The open-source model serves as an integrative platform for further refinements and future in silico studies of human cortical structure, dynamics, and function.
Original languageEnglish
Article numberbhae409
Number of pages23
JournalCerebral Cortex
Volume34
Issue number10
DOIs
Publication statusPublished - 18 Oct 2024

Keywords

  • connectivity
  • large-scale
  • neural network
  • resting-state activity
  • simulation
  • FEEDBACK CONNECTIONS
  • SYNAPTIC CONNECTIONS
  • GLUTAMATE RECEPTORS
  • CORTICAL AREAS
  • BRAIN
  • FEEDFORWARD
  • NEURONS
  • INTERNEURONS
  • DYNAMICS
  • CIRCUIT

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