Mark R. Saddler

This study shows that perceptual sensitivity thresholds in humans can be explained by a computational model optimized for ecological sound tasks, matching human behavioral thresholds.

This paper develops a deep learning framework to evaluate cochlear implant performance by simulating auditory nerve input and testing speech recognition and sound localization.

The paper shows that precise spike timing in auditory nerve models improves sound localization and speech perception, but the required precision varies with task demands.

This study develops an automated synapse quantification algorithm to analyze synaptogenesis in dissociated hippocampal cultures and finds increased synaptic density with maturation and a reduction in excitatory synapses during the third week.