Topic: spike temporal precision

Neurons have rich input-output functions for pooling and transforming inputs, owing to dendritic nonlinearities and adaptation. These nonlinearities are also flexible, adapting to accomodate changes in stimulus statistics (Młynarski and Hermundstad, 2021) or to extract different features from sensory space (Deny et al., 2017). Thus far, our understanding of the complex transformations by neurons has been largely informed by experiments which directly activate synaptic inputs on dendrites. However, these do not consider how natural and complex stimuli map to neuronal inputs. Our study uses etho