Researchers Separate Random and Deterministic Noise
Researchers Siyu Wang and Robert C. Wilson publish March 17, 2026, in PLoS Computational Biology a study quantifying deterministic versus random sources of variability in explore-exploit decisions. Using a repeated-choice task and computational modeling, they estimate at least 14% of variability is stimulus-driven and up to 86% is unexplained 'random' noise. Findings show both deterministic and random variability scale with exploration value, suggesting a shared noise-gating mechanism.
Key Points
- 1Estimate shows ≥14% deterministic variability in random exploration behavior in study.
- 2Demonstrates that some apparent noise is stimulus-driven, challenging pure stochastic models.
- 3Implies practitioners should model deterministic stimulus factors when interpreting exploration noise.
Scoring Rationale
Methodological advance with peer-reviewed evidence and practical implications, but limited generalizability beyond task specifics and samples.
Sources
Public references used for this report.
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