Mr Christoph Daube

  • Lecturer (Centre for Cognitive Neuroimaging)

Research interests

I am interested in the auditory processing of speech as well as the visual processing of faces. What happens to the soundwaves once they have hit our eardrums, or the light once it has excited the rods and cones of our retina? How do we arrive at an abstract understanding of the stimuli presented to us? And what can neuronal or behavioural responses tell us about these latent processes?

I try to gain insights into these questions through the perspectives offered by deep neural networks, magnetoencephalography and information theory.

I sometimes tweet using my twitter handle @realdaubman.

Publications

List by: Type | Date

Jump to: 2022 | 2021 | 2019
Number of items: 6.

2022

Chalas, N., Daube, C., Kluger, D. S., Abbasi, O., Nitsch, R. and Gross, J. (2022) Multivariate analysis of speech envelope tracking reveals coupling beyond auditory cortex. NeuroImage, 258, 119395. (doi: 10.1016/j.neuroimage.2022.119395) (PMID:35718023)

2021

Daube, C., Xu, T., Zhan, J., Webb, A., Ince, R. A.A. , Garrod, O. G.B. and Schyns, P. G. (2021) Grounding deep neural network predictions of human categorization behavior in understandable functional features: the case of face identity. Patterns, 2(10), 100348. (doi: 10.1016/j.patter.2021.100348) (PMCID:PMC8515012)

Zhan, J., Liu, M., Garrod, O. G.B., Daube, C., Ince, R. A.A. , Jack, R. E. and Schyns, P. G. (2021) Modeling individual preferences reveals that face beauty is not universally perceived across cultures. Current Biology, 31(10), 2243-2252.e6. (doi: 10.1016/j.cub.2021.03.013) (PMID:33798430) (PMCID:PMC8162177)

2019

Daube, C., Giordano, B., Schyns, P. G. and Ince, R. A.A. (2019) Quantitatively Comparing Predictive Models with the Partial Information Decomposition. 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany, 13-16 Sep 2019. pp. 838-840. (doi: 10.32470/CCN.2019.1142-0)

Daube, C., Ince, R. A.A. and Gross, J. (2019) Simple acoustic features can explain phoneme-based predictions of cortical responses to speech. Current Biology, 29(12), 1924-1937.e9. (doi: 10.1016/j.cub.2019.04.067) (PMID:31130454) (PMCID:PMC6584359)

Keitel, C. , Keitel, A. , Benwell, C. S.Y., Daube, C., Thut, G. and Gross, J. (2019) Stimulus-driven brain rhythms within the alpha band: the attentional-modulation conundrum. Journal of Neuroscience, 39(16), pp. 3119-3129. (doi: 10.1523/JNEUROSCI.1633-18.2019) (PMID:30770401) (PMCID:PMC6468105)

This list was generated on Fri Aug 19 17:35:14 2022 BST.
Number of items: 6.

Articles

Chalas, N., Daube, C., Kluger, D. S., Abbasi, O., Nitsch, R. and Gross, J. (2022) Multivariate analysis of speech envelope tracking reveals coupling beyond auditory cortex. NeuroImage, 258, 119395. (doi: 10.1016/j.neuroimage.2022.119395) (PMID:35718023)

Daube, C., Xu, T., Zhan, J., Webb, A., Ince, R. A.A. , Garrod, O. G.B. and Schyns, P. G. (2021) Grounding deep neural network predictions of human categorization behavior in understandable functional features: the case of face identity. Patterns, 2(10), 100348. (doi: 10.1016/j.patter.2021.100348) (PMCID:PMC8515012)

Zhan, J., Liu, M., Garrod, O. G.B., Daube, C., Ince, R. A.A. , Jack, R. E. and Schyns, P. G. (2021) Modeling individual preferences reveals that face beauty is not universally perceived across cultures. Current Biology, 31(10), 2243-2252.e6. (doi: 10.1016/j.cub.2021.03.013) (PMID:33798430) (PMCID:PMC8162177)

Daube, C., Ince, R. A.A. and Gross, J. (2019) Simple acoustic features can explain phoneme-based predictions of cortical responses to speech. Current Biology, 29(12), 1924-1937.e9. (doi: 10.1016/j.cub.2019.04.067) (PMID:31130454) (PMCID:PMC6584359)

Keitel, C. , Keitel, A. , Benwell, C. S.Y., Daube, C., Thut, G. and Gross, J. (2019) Stimulus-driven brain rhythms within the alpha band: the attentional-modulation conundrum. Journal of Neuroscience, 39(16), pp. 3119-3129. (doi: 10.1523/JNEUROSCI.1633-18.2019) (PMID:30770401) (PMCID:PMC6468105)

Conference or Workshop Item

Daube, C., Giordano, B., Schyns, P. G. and Ince, R. A.A. (2019) Quantitatively Comparing Predictive Models with the Partial Information Decomposition. 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany, 13-16 Sep 2019. pp. 838-840. (doi: 10.32470/CCN.2019.1142-0)

This list was generated on Fri Aug 19 17:35:14 2022 BST.