EXPLORE: a novel deep learning-based analysis method for exploration behaviour in object recognition tests.

ABSTRACT: Object recognition tests are widely used in neuroscience to assess memory function in rodents. Despite the experimental simplicity of the task, the interpretation of behavioural features that are counted as object exploration can be complicated. Thus, object exploration is often analysed by manual scoring, which is time-consuming and variable across researchers. Current software using tracking points often lacks precision in capturing complex ethological behaviour. Switching or losing tracking points can bias outcome measures. To overcome these limitations we developed "EXPLORE", a simple, ready-to use and open source pipeline. EXPLORE consists of a convolutional neural network trained in a supervised manner, that extracts features from images and classifies behaviour of rodents near a pre

SUBMITTER: Ibanez V 

PROVIDER: S-EPMC10014875 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature