A computational model of the mammalian brainstem to solve sound localization
Francesco de Santis, Alberto Antonietti, Alessandra Pedrocchi · FENS Forum 2024
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
ePoster · Neuroscience