Research

This list includes links to our work, as well as publications of original research where acquired data were standardised according to the CND data structure and research that used available toolboxes for the analysis of continuous-event neural data.

Our work

Piazza, G., Carta, S., Ip, E., Perez-Navarro, J., Kalashnikova, M., Martin, C. D., & Di Liberto, G. M. (2024). 'Are you talking to me? How the choice of speech register impacts listeners’ hierarchical encoding of speech.', BioRxiv. → Research supported by the CNSP2022 mBrainTrain Travel Award.

Di Liberto, G. M., Nidiffer, A. R., Crosse, M. J., Zuk, N. J., Haro, S., Cantisani, G., Winchester, M. M., Igoe, A., McCrann, R., Chandra, S., Lalor, E. C., & Baruzzo, G. (2024). 'A standardised open science framework for sharing and re-analysing neural data acquired to continuous stimuli.', NBDT.

Research using the CNSP resources (e.g., CND, open datasets, code) (selection)

Rogachev, A., & Sysoeva, O. (2024). 'Neural tracking of natural speech in children in relation to their receptive speech abilities.', Cognitive Systems Research, 86, 101236.

Aggarwal, A. S., & Batterink, L. (2024). 'Impact of Passive Second Language Exposure on Word Segmentation and Word Mapping.', Master's thesis, Western University.

Bianco, R., Zuk, N. J., Bigand, F., Quarta, E., Grasso, S., Arnese, F., Ravignani, A., Battaglia-Mayer, A., & Novembre, G. (2024). 'Neural encoding of musical expectations in a non-human primate.', Current Biology, 34(2), P444-450.E5.

Kern, P., Heilbron, M., de Lange, F. P. & Spaak, E.Hagoort, P., & de Lange, F. P. (2022). 'Cortical activity during naturalistic music listening reflects short-range predictions based on long-term experience.', eLife, 2022 Dec 23:11:e80935.

Related work from CNSP organisers (selection)

Chalehchaleh, A., Winchester, M., & Di Liberto, G. M. (2024). 'Robust assessment of the cortical encoding of word-level expectations using the temporal response function.', BioRxiv.

Di Liberto, G. M., Nie, J., Yeaton, J., Khalighinejad, B., Shamma, S. A., & Mesgarani, N. (2021). 'Neural representation of linguistic feature hierarchy reflects second-language proficiency.', Nature Scientific Reports, 11, 4963.

Crosse, M. J., Zuk, N. J., Di Liberto, G. M., Nidiffer, A. R., Molholm, S., & Lalor, E. C. (2021). 'Linear modelling of neurophysiological responses to speech and other continuous stimuli: Methodological considerations for applied research.', Frontiers in Neuroscience, 15, 705621.

Crosse, M. J., Di Liberto, G. M., Bednar, A., & Lalor, E. C. (2016). 'The Multivariate Temporal Response (mTRF) toolbox: A MATLAB toolbox for relating neural signals to continuous stimuli.', Frontiers in Human Neuroscience, 10, 604.

Di Liberto, G. M., O'Sullivan, J. A., & Lalor, E. C. (2015). 'Low-frequency cortical entrainment to speech reflects phoneme-level processing', Current Biology, 25(19), P2457-2465.

Haro, S., Rao, H. M., Quatieri, T. F., & Smalt, C. J. (2022). 'EEG alpha and pupil diameter reflect endogenous auditory attention switching and listening effort.', European Journal of Neuroscience, 55(5), 1262-1277.

Other related research

Broderick, M. P., Di Liberto, G. M., Anderson, A. J., Rofes, A. & Lalor, E. C. (2021). 'Dissociable electrophysiological measures of natural language processing reveal differences in speech comprehension strategy in healthy ageing.', Nature Scientific Reports, 11, 4963.

Broderick, M. P., Anderson, A. J., Di Liberto, G. M., Crosse, M. J., & Lalor, E. C. (2018). 'Electrophysiological correlates of semantic dissimilarity reflect the comprehension of natural, narrative speech.', Current Biology, 28(5), p803-809.e3.

Yahav, P. H., Rabinovitch, E., Korisky, A., Harel, R. V., Bliechner, M., & Golumbic, E. Z. (2025). 'Neural speech-tracking during selective attention: A spatially realistic audiovisual study.', BioRxiv.

Sato, M., Tomeoka, K., Horiguchu, I., Arulkumaran, K., Kanai, R. & Sasai, S. (2024). 'Scaling law in neural data: Non-invasive speech decoding with 175 hours of EEG data.', Arxiv.

Thornton, M., Mandic, D., & Reichenbach, T. (2022). 'Robust decoding of the speech envelope from EEG recordings through deep neural networks.', Journal of Neural Engineering, 19(4), 046007.

Kulasingham, J. P., & Simon, J. Z. (2022). 'Algorithms for estimating time-locked neural responses components in cortical processing of continuous speech.', IEEE Transactions on Biomedical Engineering , 70(1), 88-96.

Heilbron, M., Armeni, K., Schoffelen, J. M., Hagoort, P., & de Lange, F. P. (2022). 'A hierarchy of linguistic predictions during natural language comprehension.', Nature Communications, 119(32), e2201968119.

Gwilliams, L, King, J. R., Marantz, A., & Poeppel, D. (2022). 'Neural dynamics of phoneme sequences reveal position-invariant code for content and order.', PNAS, 13, 6606.

Brennan, J. R., & Hale, J. T. (2019). 'Hierarchical structure guides rapid linguistic predictions during naturalistic listening.', PLoS One, 14(1), e0207741.

Your research?

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