In a recent paper from the Bianco Lab, we used light-sheet calcium imaging and computational modelling to explore how activity in neural networks affects their internal state and contributes to variability in activity and behaviour.
One of our key findings is that recurrent network interactions can explain multiple aspects of tectal physiology including the structure of spontaneous activity, variability in visual encoding, and habituation of prey-catching behaviour.
Congratulations to first author Asaph Zylbertal, and check out the paper here: https://elifesciences.org/articles/78381