Mamady Nabé

University of Geneva | UNIGE · Department of Fundamental Neurosciences (NEUFO)

Oscillation-based neuro-computational models of speech perception are grounded in the capacity of human brain oscillations to track the speech signal. Consequently, one would expect this tracking to be more efficient for more regular signals. In this paper, we address the question of the contribution of isochrony to event detection by neuro-computa...

Oscillation-based neuro-computational models of speech perception are grounded in the capacity of human brain oscillations to track the speech signal. Consequently, one would expect this tracking to be more efficient for more regular signals. In this paper , we address the question of the contribution of isochrony to event detection by neuro-comput...

To explain how perception processes are performed, understanding how continuous sensory streams are temporally segmented into discrete units is central. This is particularly the case in speech perception where temporal segmentation is key for identifying linguistic units contained between consecutive events in time. We propose an original probabili...

Recent neurocognitive models commonly consider speech perception as a hierarchy of processes, each corresponding to specific temporal scales of collective oscillatory processes in the cortex: 30–80 Hz gamma oscillations in charge of phonetic analysis, 4–9 Hz theta oscillations in charge of syllabic segmentation, 1–2 Hz delta oscillations processing...

Exascale reaching imposes a high automation level on HPC supercomputers. In this paper, a self-optimization strategy is proposed to improve application IO performance using statistical and machine learning based methods.