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Found 3 papers, 1 papers with code
Adaptation Properties Allow Identification of Optimized Neural Codes
Here we solve an inverse problem: characterizing the objective and constraint functions that efficient codes appear to be optimal for, on the basis of how they adapt to different stimulus distributions.
Optimal decision-making with time-varying evidence reliability
The work presented here describes the computation and characterization of optimal decision-making in the more realistic case of an evidence reliability that varies across time even within a trial.
Variational Bayesian inference for linear and logistic regression
The article describe the model, derivation, and implementation of variational Bayesian inference for linear and logistic regression, both with and without automatic relevance determination.
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