| Autor: |
Janine K. Reinert, Andreas T. Schaefer, Thomas Kuner |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Frontiers in Behavioral Neuroscience, Vol 13 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1662-5153 |
| DOI: |
10.3389/fnbeh.2019.00267 |
| Popis: |
Behavioral phenotyping of mice is often compromised by manual interventions of the experimenter and limited throughput. Here, we describe a fully automated behavior setup that allows for quantitative analysis of mouse olfaction with minimized experimenter involvement. Mice are group-housed and tagged with unique RFID chips. They can freely initiate trials and are automatically trained on a go/no-go task, learning to distinguish a rewarded from an unrewarded odor. Further, odor discrimination tasks and detailed training aspects can be set for each animal individually for automated execution without direct experimenter intervention. The procedure described here, from initial RFID implantation to discrimination of complex odor mixtures at high accuracy, can be completed within |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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