Negative patterning tasks are a key tool to unveil the mechanisms by which stimulus representations are acquired—a central concern in Robert Rescorla’s research. In these tasks, target stimuli are reinforced when presented individually (A+/B+) but not when presented in compound (AB−). The discrimination of single stimuli from their compound presentation is a challenge for theories of associative learning, because it cannot be explained by the simple accrual of associative strength. The present study examined the conditions under which mice learn this part–whole discrimination in olfactory stimuli using a novel instrumental methodology. In two experiments, reinforcement was contingent on distinct responses depending on whether a set of odor mixtures were presented in isolation or as a compound. Using C57BL/6 mice, Experiment 1 showed a mutual interference between learning a response to individual odors and learning a different response to those odors presented in compound. Using wild-type APP/PS1 mice (a control strain for a murine model of Alzheimer’s disease), Experiment 2 replicated this interference and showed that it is stimulus-specific. These experiments show that the instrumental patterning task may not only complement Pavlovian negative patterning tasks but may also motivate its own questions on the representation of complex stimuli.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.