SUMMARY In the adult ventricular-subventricular zone (V-SVZ), neural stem cells (NSCs) generate new olfactory bulb (OB) neurons and glia throughout life. To map adult neuronal lineage progression, we profiled >56,000 V-SVZ and OB cells by single-cell RNA sequencing (scRNA-seq). Our analyses reveal the molecular diversity of OB neurons, including fate-mapped neurons, lineage progression dynamics, and an NSC intermediate enriched for Notum , which encodes a secreted WNT antagonist. SCOPE-seq technology, which links live-cell imaging with scRNA-seq, uncovers cell-size transitions during NSC differentiation and preferential NOTUM binding to proliferating neuronal precursors. Consistently, application of NOTUM protein in slice cultures and pharmacological inhibition of NOTUM in slice cultures and in vivo demonstrated that NOTUM negatively regulates V-SVZ proliferation. Timely, context-dependent neurogenesis demands adaptive signaling among neighboring progenitors. Our findings highlight a critical regulatory state during NSC activation marked by NOTUM, which attenuates WNT-stimulated proliferation in NSC progeny.

The visual system is an efficient statistician, extracting statistical summaries over sets of objects (statistical summary perception) and statistical regularities among individual objects (statistical learning). Although these two kinds of statistical processing have been studied extensively in isolation, their relationship is not yet understood. We first examined how statistical summary perception influences statistical learning by manipulating the task that participants performed over sets of objects containing statistical regularities (Experiment 1). Participants who performed a summary task showed no statistical learning of the regularities, whereas those who performed control tasks showed robust learning. We then examined how statistical learning influences statistical summary perception by manipulating whether the sets being summarized contained regularities (Experiment 2) and whether such regularities had already been learned (Experiment 3). The accuracy of summary judgments improved when regularities were removed and when learning had occurred in advance. In sum, calculating summary statistics impeded statistical learning, and extracting statistical regularities impeded statistical summary perception. This mutual interference suggests that statistical summary perception and statistical learning are fundamentally related.

No abstract

Although context is crucial to emotion perception, there are various factors that can modulate contextual influence. The current research investigated how cue type, top-down control, and the perceiver's age influence attention to context in facial emotion perception. In 2 experiments, younger and older adults identified facial expressions contextualized by other faces, isolated objects, and scenes. In the first experiment, participants were instructed to ignore face, object, and scene contexts. Face context was found to influence perception the least, whereas scene context produced the most contextual effect. Older adults were more influenced by context than younger adults, but both age groups were similarly influenced by different types of contextual cues, even when they were instructed to ignore the context. In the second experiment, when explicitly instructed that the context had no meaningful relationship to the target, younger and older adults both were less influenced by context than when they were instructed that the context was relevant to the target. Results from both studies indicate that contextual influence on emotion perception is not constant, but can vary based on the type of contextual cue, cue relevance, and the perceiver's age.