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July 27, 2025

HBMAP: Bayesian inference of neural circuits from DNA barcoded projection mapping

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Authors

SWSara WadeEAEdward AgborawHLHaitao Liu

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Overview

Model-based clustering identifies projection patterns in neural circuits, indicating advances in statistical analysis of subject variability.

Key Points

  • The HBMAP model provides a principled method for analyzing barcode count data, focusing on neural circuits.
  • Hierarchical Bayesian mixtures effectively characterize uncertainty and account for variability across subjects.
  • This research marks the first application of Bayesian inference to barcode-based projection mapping in neuroscience.
  • The approach allows for simultaneous identification of projection patterns and enhances data integration across studies.

Cite This Study

Wade et al. (2025) studied this question.

synapsesocial.com/papers/689a0939e6551bb0af8ce7bchttps://doi.org/10.1101/2025.07.24.666115
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