Our lab's interest centers on understanding the neural foundation of human communication.
We develop neural data analysis methodologies based on machine learning and signal processing.
Then, we apply those methodologies on neurophysiology brain data to better understand auditory communication and other aspects of human cognition.
Those findings are then used to derive objective measurements of cognition, allowing us to conduct applied research on the causes, impact, and potential solutions of cognitive and communication deficits (e.g., hearing impairment, cognitive decline).
Giovanni Di Liberto, Ph.D.
Principal Investigator
Assistant Professor in Intelligent Systems
School of Computer Science and Statistics
ADAPT Centre. Trinity College Institute of Neuroscience (TCIN)
The University of Dublin, Trinity College
Research Gate
X (Twitter)
Recent papers
New preprint: "Robust assessment of the cortical encoding of word-level expectations using the temporal response function".
New preprint: "Neural signatures of musical and linguistic interactions during natural song listening".
New paper: "Emergence of the cortical encoding of phonetic features in the first year of life".
New preprint: "Cortical over-representation of phonetic onsets of ignored speech in hearing impaired individuals".
New preprint of the end-to-end framework built with the CNSP initiative. See the resources and documentation
New paper: "The Impact of Temporal Synchronisation Imprecision on TRF Analyses".
New editorial: "Neural Tracking: Closing the gap between neurophysiology and translational medicine".
New paper: "Accurate Decoding of Imagined and Heard Melodies" in Frontiers in Neuroscience.
New paper: "Neural representation of linguistic feature hierarchy reflects second-language proficiency" in Neuroimage.
