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Efficient Neural Codes under Metabolic Constraints
The advantage could be as large as one-fold, substantially larger than the previous estimation.
Human Decision-Making under Limited Time
Subjective expected utility theory assumes that decision-makers possess unlimited computational resources to reason about their choices; however, virtually all decisions in everyday life are made under resource constraints - i. e. decision-makers are bounded in their rationality.
Optimal Neural Population Codes for High-dimensional Stimulus Variables
We consider solutions for a minimal case where the number of neurons in the population is equal to the number of stimulus dimensions (diffeomorphic).
Optimal integration of visual speed across different spatiotemporal frequency channels
How does the human visual system compute the speed of a coherent motion stimulus that contains motion energy in different spatiotemporal frequency bands?
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss
In this manner, we show how the optimal tuning curve depends upon the loss function, and the equivalence of maximizing mutual information with minimizing $L_p$ loss in the limit as $p$ goes to zero.
A Bayesian Model of Conditioned Perception
We propose an extended probabilistic model for human perception.
