Dissecting novel object exploration: a fully automated homecage-based novel object recognition test

Summary The novel object recognition test is a frequently used memory test in rodents. Due to its ethological nature, cross-species relevance, and specificity to testing hippocampal and parahippocampal function, it has been widely applied in basic and translational research. However, its implementation proves challenging due to multiple uncontrolled factors. Here, we describe a fully automated homecage-based novel object recognition test for assessing long-term object memory in mice. We present an empirically guided computational model to show the robustness of this approach despite ambiguity in defining exploratory behaviours. We show that mice preferentially explored novel compared to familiar objects after 24-hour and 7-day retention periods, starting to discern them from a distance. The findings were replicated across two facilities. Furthermore, the ability to recognise the novel object depends on the mouse’s prior interactions with the replaced object after 24 hours, but not after 7 days. Finally, we showed that external factors may introduce undesired exploration biases, which can be addressed using relative instead of absolute discrimination measures. The fully automated homecage-based object recognition test will improve standardisation, rigour, and reproducibility, as well as expand our understanding of the factors influencing object exploratory behaviours and object memory. Files `smartkage_cad_files.dxf`: contains CAD files required to replicate the hardware design of smart Kages; `paper_code.zip`: contains the processed data and Python code required to recreate all figures in the journal publication.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17268089
Primary Topic
Bacterial Genetics and Biotechnology
Type
article
Field-Weighted Citation Impact
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article

Dissecting novel object exploration: a fully automated homecage-based novel object recognition test

Zenodo (CERN European Organization for Nuclear Research)
Bacterial Genetics and Biotechnology
article

Dissecting novel object exploration: a fully automated homecage-based novel object recognition test

article en

Abstract

Summary The novel object recognition test is a frequently used memory test in rodents. Due to its ethological nature, cross-species relevance, and specificity to testing hippocampal and parahippocampal function, it has been widely applied in basic and translational research. However, its implementation proves challenging due to multiple uncontrolled factors. Here, we describe a fully automated homecage-based novel object recognition test for assessing long-term object memory in mice. We present an empirically guided computational model to show the robustness of this approach despite ambiguity in defining exploratory behaviours. We show that mice preferentially explored novel compared to familiar objects after 24-hour and 7-day retention periods, starting to discern them from a distance. The findings were replicated across two facilities. Furthermore, the ability to recognise the novel object depends on the mouse’s prior interactions with the replaced object after 24 hours, but not after 7 days. Finally, we showed that external factors may introduce undesired exploration biases, which can be addressed using relative instead of absolute discrimination measures. The fully automated homecage-based object recognition test will improve standardisation, rigour, and reproducibility, as well as expand our understanding of the factors influencing object exploratory behaviours and object memory. Files `smartkage_cad_files.dxf`: contains CAD files required to replicate the hardware design of smart Kages; `paper_code.zip`: contains the processed data and Python code required to recreate all figures in the journal publication.

Zenodo (CERN European Organization for Nuclear Research)
University of Cambridge (GB), UK Dementia Research Institute (GB), University College London (GB)
Openalex Percentile: Top 35%
Bacterial Genetics and Biotechnology
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Dissecting novel object exploration: a fully automated homecage-based novel object recognition test · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS