Using a recurrent neural network to predict noradrenaline release by locus coeruleus neurons based on facial features in mice
Noradrenaline (NA) is a ubiquitous neuromodulator largely produced by locus coeruleus (LC) neurons that impacts multiple cognitive processes. Non-invasive methods are used to track LC-NA activity. For instance, pupillometry is shown to be linked to arousal state, LC-NA, and other neuromodulator activity. However, given that pupillometry is a relatively slow process, the extent by which LC-NA can be predicted by pupil is limited. Since movements are linked with increased LC activity, orofacial movements could potentially be used as an additional psychophysiological marker for arousal and LC-N