Core contribution: Using fish-locked whole-field visual motion (sinusoidal gratings, random-dot motion) in freely swimming 5-7 dpf larvae, the authors report that the previous stimulus direction (Sn-1) has a negative (repulsive) effect while the previous response direction (Rn-1) has a positive (repetitive) effect on the current optomotor turn direction. Effects persist across variable inter-trial intervals (0-60 s), suggesting history biases survive tens of seconds without decay. A logistic regression confirms opposing coefficients; hierarchical modeling shows >90% of individual fish exhibit both effects independently.
Key quantitative findings :
The psychometric analysis shows response-conditioned curve separation of ~15%. Over the session (3-4 h), P(repeat) and P(incorrect) increase together (Spearman Ο=0.503, p<0.001), while sensitivity (Ο) remains unchanged but lapse rates (Ξ», Ξ³) rise significantly β consistent with response repetition overriding sensory evidence rather than sensory degradation. The deterministic 3-integrator model (fast attractive, slow repulsive, motor integrator Οβ900 s) predicts ~85% of correct and ~20% of incorrect trials, well above chance.
Strengths: Large sample sizes (160 fish/15,981 trials for gratings; 76 fish/7,416 for 100% dot motion; 121 fish for mixed coherence). Careful disentangling of stimulus vs response history using conditioning on "correct" trials. Multi-scale model ablation (full, ST sensory drive, LT sensory inhibition, LT motor drive) confirms that only the full model jointly captures all timescales. Data and code deposited (KonData DOI 10.48606/h5v2506p48g298zv), enhancing reproducibility. Apparent "lapses" are reframed as deterministic history effects β connecting to prior work showing trial-history biases generate apparent lapses in rodents .
Weaknesses and blindspots: (1) Cross-validation of the deterministic model's parameter set was done heuristically (Ziegler-Nichols-like tuning) rather than by formal model selection with held-out data. (2) The reported Ο discrepancy between model and data is acknowledged but not resolved. (3) Only visual whole-field motion tested; generality to other modalities or to adult zebrafish unknown. (4) No neural recordings or perturbations to causally test proposed substrates (torus longitudinalis, ARTR, thalamus). (5) The moderate correlation between Sn-1 and Rn-1 (Ο=0.34) introduces multicollinearity risk, which the authors address but do not fully eliminate. (6) As a preprint, it lacks peer review; novelty rests on being the first systematic history-bias dissection in freely swimming larval zebrafish, complementing head-fixed work.
Confidence: Moderate-high for behavioral effects (large N, bootstrapped CIs, hierarchical replication); moderate for the integrator model as a mechanism (deterministic fit without formal cross-validation, no causal neural test).
What would change the conclusion: A model variant lacking the motor integrator that still predicts incorrect-trial rates and increasing lapse rates as accurately as the full model would undermine the response-repetition account. Neural perturbation of candidate substrates (e.g., ARTR silencing) that eliminates repetition without affecting repulsion would also refine the mechanistic story.
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