Holger Finger

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About

Holger Finger is a researcher at the forefront of neuromorphic engineering and robotic audition, with a primary focus on biologically inspired sound localization. His work bridges the gap between computational neuroscience and practical robotics, developing systems that mimic the auditory processing of biological organisms. Finger’s most significant contribution is the creation of a spike-based binaural sound localization algorithm, detailed in his 2011 paper (26 citations), which processes auditory information from a silicon cochlea using spike-timing correlations. This innovation enables real-time, energy-efficient sound source localization for robotic attention systems. Complementing this, his 2010 work (18 citations) addresses the critical challenge of online calibration for robotic heads, introducing adaptive algorithms that account for the acoustic effects of artificial pinnae and head geometry. By building a custom 3-degree-of-freedom robotic head with microphones embedded in artificial outer ears, Finger demonstrated how temporal differences in sound arrival can be leveraged for robust localization. His research has laid essential groundwork for autonomous systems that require natural, real-time auditory perception, making him a key figure in the development of hearing-enabled robots.