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Codebase for the paper "Probabilistic inference of social presence across brain scales reveals enhanced synaptic efficacy"

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SoFa-PI

Codebase for the paper "Probing other’s Presence: Probabilistic Inference Across Brain Scales Reveals Enhanced Excitatory Synaptic Efficacy"

Scheme of the analysis

Dependencies

The main dependencies for running the code are:

  • Simulation-based inference (sbi)
  • Numpyro
  • Xarray
  • Numpy
  • Scipy
  • Scikit-learn
  • Matplotlib

Experimental data

  • Access to the computed simulations or synthetic/empirical features for running the code is available upon reasonable request. Empirical data from the tasks is available on Zenodo https://doi.org/10.5281/zenodo.16487740.

Reference

  • Esmaeili, A., Demolliens, M., Viersen, M., Ziaeemehr, A., Isbaine, F., Huguet, P., Zaal, F., Jirsa, V., Boussaoud, D., & Hashemi, M. (2025). Probabilistic inference of social presence across brain scales reveals enhanced synaptic efficacy. Communications Biology, 8(1), 1608. https://doi.org/10.1038/s42003-025-08971-3

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Codebase for the paper "Probabilistic inference of social presence across brain scales reveals enhanced synaptic efficacy"

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