Dr K.A. van der Heijden (Kiki)
Assistant professor - Artificial Intelligence
Assistant professor - Donders Centre for Cognition
Assistant professor - Donders Institute for Brain, Cognition and Behaviour
Thomas van Aquinostraat 4
6525 GD NIJMEGEN
6500 HE NIJMEGEN
In my research, I investigate the computational mechanisms underlying the neural encoding of sound in the auditory pathway in normal and hearing-impaired listeners.
To gain insight into neural sound location processing in naturalistic spatial hearing, I use an interdisciplinary approach combining cognitive neuroscience and artificial intelligence: I develop neurobiological-inspired deep neural network models of sound location processing in subcortical auditory structures and the auditory cortex. These models are validated against measurements of neural activity in the brainstem and cortex acquired with ultra high-field functional magnetic resonance imaging (fMRI) at 7 Tesla.
Additionally, I investigate how listeners extract relevant information such as sound location and speaker identity from complex auditory scenes (e.g. with multiple talkers), and how listeners utilize this information to attend to the sound source of interest and accomplish a task. To answer these questions, I use computational modelling to analyze intracranial measurements of neuronal activity in the cortex (i.e. electrocorticography [ECoG], and stereotactic electroencephalography [sEEG]). I conduct this line of research as a postdoctoral research fellow at the Neural Acoustic Processing Lab at Columbia University (New York, United States).
Ultimately, my aim is to arrive at a better understanding of neural sound processing in normal listeners and to build on this knowledge to develop solutions for hearing impaired listeners (e.g. cochlear implant users).
- Van der Heijden, K., Rauschecker, J. P., de Gelder, B., & Formisano, E. (2019). Cortical mechanisms of spatial hearing. Nature Reviews Neuroscience, 20(10), 609-623. Full text
- van der Heijden, K., & Mehrkanoon, S. (2020). Modelling human sound localization with deep neural networks. In ESAN 2020: 28th European Symposium on Artificial Neural Networks, Computational Intelligence, and Machine Learning (pp. No-ES2020). Bruges: i6doc. com. Full text
- van der Heijden, K., Rauschecker, J. P., Formisano, E., Valente, G., & de Gelder, B. (2018). Active sound localization sharpens spatial tuning in human primary auditory cortex. Journal of Neuroscience, 38(40), 8574-8587. Full text
- van der Heijden, K., Formisano, E., Valente, G., Zhan, M., Kupers, R., & de Gelder, B. (2020). Reorganization of sound location processing in the auditory cortex of blind humans. Cerebral Cortex, 30(3), 1103-1116. Full text
- Derey, K., Valente, G., De Gelder, B., & Formisano, E. (2016). Opponent coding of sound location (azimuth) in planum temporale is robust to sound-level variations. Cerebral Cortex, 26(1), 450-464. Full text
Research grants and prizes
- 2020 - NWO Veni "Surrounded by sound: Deep neural network models of naturalistic spatial hearing".
- 2019 - Marie-Curie Global Individual Fellowship "Representational mechanisms of neural location encoding of real-life sounds in normal and hearing-impaired listeners".