Describing neural encoding from large-scale brain recordings: A deep learning model of the central auditory system
Fotios Drakopoulos, Yiqing Xia, Andreas Fragner, Nicholas A Lesica · FENS Forum 2024
Numerous computational models of the cochlea have been developed that faithfully capture the transformation of incoming sound into basilar membrane motion and auditory nerve spike patterns, with widespread uptake across academia and industry. Models of sensory processing in the brain, however, are generally much less accurate, with even the best failing to explain most of the variance in sub-cortical and cortical neural activity.Here, we used large-scale neural recordings from measurement sites spanning the inferior colliculus (IC) of normal-hearing gerbils to develop a deep learning model of
ePoster · Neuroscience