Dissecting novel object exploration in a fully automated homecage-based novel object recognition test
Hinze Ho, Nejc Kejzar, Stephen Burton, Loukia Katsouri, Marino Krstulovic, Eszter Sara Arany, John O’Keefe, Marius Bauza, Julija Krupic

TL;DR
A fully automated homecage-based test reliably measures object memory in mice, improving reproducibility and reducing experimental variability.
Contribution
A novel, fully automated homecage-based NOR test that enhances reproducibility and reduces human error in object memory studies.
Findings
Mice reliably preferred novel objects after 24-h and 7-day delays, even from a distance.
Recognition after 24 h depends on prior object interactions, but not after 7 days.
External biases in exploration can be mitigated using relative discrimination measures.
Abstract
The novel object recognition (NOR) test is widely used to assess memory in rodents, offering strong ethological validity, cross-species relevance, and specificity for hippocampal-parahippocampal function. However, standard implementations are often confounded by uncontrolled factors. Here, we present a fully automated, homecage-based NOR test for evaluating long-term object memory in mice. Our empirically informed computational model demonstrates the robustness of this approach despite uncertainties in defining exploratory behavior. Mice reliably preferred novel over familiar objects after both 24-h and 7-day delays, with recognition emerging already at a distance. Results were replicated across two facilities. Notably, recognition after 24 h depended on prior interactions with the replaced object, but not after 7 days. We also show that external factors can bias exploration, which can…
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Taxonomy
TopicsMemory and Neural Mechanisms · Neuroscience and Neuropharmacology Research · Zebrafish Biomedical Research Applications
