Distinct timescales for the neuronal encoding of vocal signals in a high-order auditory area

Aurore Cazala (1) , Catherine del Negro (1) , Nicolas Giret (1)

1 NeuroPSI - Institut des Neurosciences Paris-Saclay

The ability of the auditory system to selectively recognize natural sound categories with a tolerance to variations within categories is thought to be crucial for vocal communication. Subtle variations, however, may have functional roles. To date, how the coding of the balance between tolerance and sensitivity to variations in acoustic signals is performed at the neuronal level requires further studies. We investigated whether neurons of a high-order auditory area in a songbird species, the zebra finch, are sensitive to natural variations in vocal signals by recording responses to repeated exposure to similar and variant sound sequences. We took advantage of the intensive repetition of the male songs which subtly vary from rendition to rendition. In both anesthetized and awake birds, responses based on firing rate during sequence presentation did not show any clear sensitivity to these variations, unlike the temporal reliability of responses based on a 10 milliseconds resolution that depended on whether variant or similar sequences were broadcasted and the context of presentation. Results therefore suggest that auditory processing operates on distinct timescales, a short one to detect variations in individual’s vocal signals, longer ones that allow tolerance in vocal signal structure and the encoding of the global context.

Domaines: Neurobiologie

Aurore Cazala, Catherine del Negro, Nicolas Giret. Distinct timescales for the neuronal encoding of vocal signals in a high-order auditory area. Scientific Reports, 2021, 11 (1), pp.19672. ⟨10.1038/s41598-021-99135-w⟩. ⟨hal-03299433⟩