Topic: interaural time difference

Implementing bioinspired neural networks in silico is a powerful tool for studying brain processes. These networks grant access to the real-time behavior of individual neurons within a complex circuitry, such as the ones executing neurosensory functions. This study proposes a computational model to study how the mammalian brainstem implements sound localization: the ability to identify an acoustic source in the surrounding space. The main actors in sound localization are two brainstem nuclei: the medial and the lateral superior olive. We have reconstructed a model made of thousands of spiking

Binaural cues, such as interaural time difference (ITD), are pivotal for sound localization in the auditory system. However, contemporary cochlear implant (CI) processors convey only envelope ITD, neglecting pulse-timing ITD in the temporal fine structure, possibly contributing to CI users' spatial hearing challenges.To assess CI-implanted rats' sensitivity to envelope and pulse timing ITD, we utilized a stimulus involving a 900pps pulse train modulated by a 20 Hz sine envelope, allowing independent variation of PT_ITD and ENV_ITD {-0.1, 0, 0.1 ms}. Neural activity from the inferior colliculus

Bilateral cochlear implants (biCIs) are increasingly used to treat severe hearing loss. However, human biCI users usually exhibit relatively poor binaural cue sensitivity, with interaural time difference (ITD) sensitivity in prelingually deaf patients being particularly poor. To better understand these shortcomings in prosthetic binaural hearing, it would be helpful to know what the “innate” ITD and ILD sensitivity of the neonatally deafened (ND), mature mammalian auditory pathway is like, but this cannot easily be investigated in humans. We therefore recorded neural responses in the inferior