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Research map / Probabilistic and scientific modeling / Dynamical systems

Efficient inference for time-varying behavior during learning

NeurIPS 2018 · Probabilistic and scientific modeling › Dynamical systems · approach: Recurrent circuit models of inference · 25 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add choice, answer and sensory history weights to the dynamic model (ablation)dynamic logistic regression (PsyTrack) · rat 2AFC delayed discriminationcross-validated log-likelihood: 20% boostHelped
include history weights so predictions can be near-certain on easy trials (ablation)dynamic logistic regression · rat data, predicted accuracyprediction confidence: basic model never more than 90% confident; history-aware has many near 100%Helped
fit separate volatility hyperparameter per weight instead of one shared sigma (ablation)dynamic logistic regression · behavior datafit accuracyHelped
decoupled Laplace approximation for hyperparameter optimizationdynamic logistic regression · simulated datahyperparameter recoveryHelped

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