![]() Pattern analyses on functional MRI data show the hippocampus forms conjunctive representations that are dissociable from feature components and that these representations, along with those of cortex, influence striatal prediction errors. Here, we test if the hippocampus forms separable conjunctive representations that enables the learning of response contingencies for stimuli of the form: AB+, B−, AC−, C+. One solution is to assign value to multi-featural conjunctive representations. Feature-based reinforcement learning fails when the values of individual features depend on the other features present. ![]() More often, outcomes are linked to multidimensional states (e.g., poison ivy is green in summer but red in spring). Associations can be based on relationships between object features (e.g., the three leaflets of poison ivy leaves) and outcomes (e.g., rash). Animals rely on learned associations to make decisions.
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