A recurrent neural network model of C. elegans responses to aversive stimuli
Although the synaptic connections of the C. elegans connectome have been precisely mapped with detailed electron microscopy studies of nematode slices, their excitatory or inhibitory character is mostly unknown. This makes the C. elegans neural dynamics unpredictable, and limits our understanding of how specific sub-circuits work. The present study proposes a recurrent neural network model that reproduces known escape behaviours of C. elegans.