Hidden behavioral fingerprints in epilepsy
Neuron 111, 1–13
Gschwind et al. show that machine learning-assisted behavioral analysis allows an unbiased assessment of epilepsy in animal models. The automated identification of behavioral phenotypes, including anti-epileptic drug responses, during the readily available inter-ictal periods bears great potential to accelerate rigorous, reproducible preclinical research into epilepsies.