English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

When choosing between options, we must solve an important binding problem.The values of the options must be associated with information about the actionneeded to select them. We hypothesize that the brain solves this bindingproblem through use of distinct population subspaces. To test this hypothesis,we examined the responses of single neurons in five reward-sensitive regions inrhesus macaques performing a risky choice task. In all areas, neurons encodedthe value of the offers presented on both the left and the right side of thedisplay in semi-orthogonal subspaces, which served to bind the values of thetwo offers to their positions in space. Supporting the idea that thisorthogonalization is functionally meaningful, we observed a session-to-sessioncovariation between choice behavior and the orthogonalization of the two valuesubspaces: trials with less orthogonalized subspaces were associated withgreater likelihood of choosing the less valued option. Further inspectionrevealed that these semi-orthogonal subspaces arose from a combination oflinear and nonlinear mixed selectivity in the neural population. We show thiscombination of selectivity balances reliable binding with an ability togeneralize value across different spatial locations. These results support thehypothesis that semi-orthogonal subspaces support reliable binding, which isessential to flexible behavior in the face of multiple options.

Subspace orthogonalization as a mechanism for binding values to space