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Cash-Padgett, T. D.

Publications and source records attributed to Cash-Padgett, T. D..

2 recordsLinked to original sources

Orthogonal but linked neural codes for value

Our ability to effectively choose between dissimilar options implies that information regarding the options values must be available, either explicitly or implicitly, in the brain. Explicit realizations of value involve single neurons whose responses depend on value and not on the specific features that determine it. Implicit realizations, by contrast, come from the coordinated action of neurons that encode specific features. One signature of implicit value coding is that population responses to offers with the same value but different features should occupy semi- or fully orthogonal neural subspaces that are nonetheless linked. Here, we examined responses of neurons in six core value-coding areas in a choice task with risky and safe options. Using stricter criteria than some past studies have used, we find, surprisingly, no evidence for abstract value neurons (i.e., neurons with the response to equally valued risky and safe options) in any of these regions. Moreover, population codes for value resided in orthogonal subspaces; these subspaces were linked through a linear transform of each of their constituent subspaces. These results suggest that in all six regions, populations of neurons embed value implicitly in a distributed population.

neuroscience↗

Overstaying in patchy foraging can be explained by behavioral variability

Foragers often systematically deviate from rate-maximizing choices in two ways: in accuracy and precision. That is, they both use suboptimal threshold values and show variability in their application of those thresholds. We hypothesized that these biases are related and, more specifically, that foragers widely known accuracy bias - over-staying - could be explained, at least in part, by their precision bias. To test this hypothesis, we analyzed choices made by three rhesus macaques in a computerized patch foraging task. Confirming previously observed findings, we find high levels of variability. We then show, through simulations, that this variability changes optimal thresholds, meaning that a forager aware of its own variability should increase its leaving threshold (i.e., over-stay) to increase performance. All subjects showed thresholds that were biased in the predicted direction. These results indicate that over-staying in patches may reflect, in part, an adaptation to behavioral variability.

animal behavior and cognition↗