Prof. Dr. Werner Hemmert

Primary research focus: Theoretical Neuroscience & Technical Applications

Second research focus: Biomedical Neuroscience

Third research focus: Cellular & Systems Neuroscience

Keywords: cochlear implants, computational neuroscience, hearing

Research methods: Computational modeling, psychophysical and objective measurements of nerve potentials, vibration measurements, measurement of otoacoustic emissions

Brief research description: Information processing and computational neuroscience • coding of sound into nerve-action potentials • neuronal processing in the auditory brainstem • electrical stimulation of neurons • psychophysical- and objective measurements in patients with cochlear implants • biophysics of sensory organs and neurons.

Current or graduated GSN students:Miguel Obando, Anna Dietze, Dr. Michael Drews, Dr. Miguel Eduardo Obando Leitón

Selected publications:

G. Frank, W. Hemmert, A.W. Gummer (1999): Limiting dynamics of high-frequency electromechanical transduction of outer hair cells. Proc Natl Acad Sci USA 96, 4420-4425. https://doi.org/10.1073/pnas.96.8.4420

M. Rudnicki, O. Schoppe, M. Isik, F. Völk, W. Hemmert (2015) Modeling auditory coding: from sound to spikes. Cell and tissue research, 361(1), 159-175 https://link.springer.com/article/10.1007/s00441-015-2202-z

S.A. Karg, C. Lackner, W. Hemmert (2013): Temporal interaction in electrical hearing elucidates auditory nerve dynamics in humans, Hearing Research 299, 10-18. https://doi.org/10.1016/j.heares.2013.01.015

M. Holmberg, D. Gelbart, W. Hemmert (2006): Automatic speech recognition with an adaptation model motivated by auditory processing. IEEE Transactions on Audio, Speech, and Language Processing 14 (1), p. 43-49 https://ieeexplore.ieee.org/abstract/document/1561262

J. Encke, W. Hemmert (2018) Extraction of Inter-Aural Time Differences Using a Spiking Neuron Network Model of the Medial Superior Olive. Frontiers in Neuroscience (12), p. 1-12 https://doi.org/10.3389/fnins.2018.00140