ArticlePLoS computational biology2024
BCI Toolbox: An open-source python package for the Bayesian causal inference model.
Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Did you see the sound? A Bayesian assessment on cross-modal perception in low vision.Journal of vision · 2026Article
- Crossmodal interaction of flashes and beeps across time and number follows Bayesian causal inference.Psychonomic bulletin & review · 2026Article
- Bayesian Causal Inference Accounts for Multisensory Filling-In at the Blind Spot.bioRxiv : the preprint server for biology · 2025Article
- Scikit-NeuroMSI: A Generalized Framework for Modeling Multisensory Integration.Neuroinformatics · 2025Article
- PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces.PloS one · 2025Article
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Authors and funding
3 authors.
Funding
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Abstract
Psychological and neuroscientific research over the past two decades has shown that the Bayesian causal inference (BCI) is a potential unifying theory that can account for a wide range of perceptual and sensorimotor processes in humans. Therefore, we introduce the BCI Toolbox, a statistical and analytical tool in Python, enabling researchers to conveniently perform quantitative modeling and analysis of behavioral data. Additionally, we describe the algorithm of the BCI model and test its stability and reliability via parameter recovery. The present BCI toolbox offers a robust platform for BCI model implementation as well as a hands-on tool for learning and understanding the model, facilitating its widespread use and enabling researchers to delve into the data to uncover underlying cognitive mechanisms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.