ArticleNature neuroscience2024
Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience.
Article in Nature neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
107 citing papers in PubMed.
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- Anesthesia unconsciousness recruits dynamic parabrachial activity within a distributed brain-wide ensemble.bioRxiv : the preprint server for biology · 2026Article
- ABEL: an active-learning behavior estimation and labeling platform.bioRxiv : the preprint server for biology · 2026Article
- Distinctly structured social behavior across three rodent strains is associated with different neural activity patterns.iScience · 2026Article
- Social hierarchy shapes behavioral and transcriptional responses to chronic stress and ketamine in male mice.iScience · 2026Article
- Using Machine Learning to Automate the Analysis of an Olfactory Habituation-Dishabituation Task in Mice.Brain and behavior · 2026Article
- Topological data analysis captures complex behavioral dynamics during naturalistic social interaction between domestic ferrets.bioRxiv : the preprint server for biology · 2026Article
- Automated analysis of C. elegans behavior by LabGym: an open-source, AI-powered platform.G3 (Bethesda, Md.) · 2026Article
- DRD1 and DRD2 dopamine-sensitive neurons in the central amygdala respond differently to rewarding and aversive stimuli.Translational psychiatry · 2026Article
- Beyond Fear Learning in Isolation: Integration of Social Dimensions into Aversive Learning.Current protocols · 2026Review
- Individual differences in prosocial learning are represented in the hippocampal dorsal CA1.Nature neuroscience · 2026Article
- Considerations for the selection and phenotyping of mouse models for the study of Alzheimer's disease.STAR protocols · 2026Review
- Improving translational insight using sequential sampling models in drug choice.Psychopharmacology · 2026Review
- Grooming as a window into the post-stress recuperative process.bioRxiv : the preprint server for biology · 2026Article
- Automated Profiling of Social Behaviors to Assess the Genetic Basis of Evolution of Aggressive Behaviors in Astyanax mexicanus.Journal of experimental zoology. Part A, Ecological and integrative physiology · 2026Article
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- Ideological and political education behavior recognition by artificial intelligence transformers.Scientific reports · 2026Article
47 more citing papers are in PubMed but not listed here.
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Authors and funding
18 authors.
Funding
Abstract
The study of complex behaviors is often challenging when using manual annotation due to the absence of quantifiable behavioral definitions and the subjective nature of behavioral annotation. Integration of supervised machine learning approaches mitigates some of these issues through the inclusion of accessible and explainable model interpretation. To decrease barriers to access, and with an emphasis on accessible model explainability, we developed the open-source Simple Behavioral Analysis (SimBA) platform for behavioral neuroscientists. SimBA introduces several machine learning interpretability tools, including SHapley Additive exPlanation (SHAP) scores, that aid in creating explainable and transparent behavioral classifiers. Here we show how the addition of explainability metrics allows for quantifiable comparisons of aggressive social behavior across research groups and species, reconceptualizing behavior as a sharable reagent and providing an open-source framework. We provide an open-source, graphical user interface (GUI)-driven, well-documented package to facilitate the movement toward improved automation and sharing of behavioral classification tools across laboratories.
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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.