Leela Azorin, Sophie Herment (LPL)
A subjective distinction can be made between inner hearing—invoking speech representations from memory—and inner speaking—simulating the motor act of speech. A TMS study reveals that lip cortical excitability (“MEP”) increases more with inner speaking than with inner hearing, and that this effect is modulated by the phonetic content of what is produced mentally, hence objectivising the phenomenological distinction.
Andrei Barborica, Ioana Mindruta, Víctor J. López-Madrona, F-Xavier Alario, Agnès Trébuchon, Cristian Donos, Irina Oane, Constantin Pistol, Felicia Mihai, and Christian G. Bénar.
2023. Frontiers in Human Neuroscience 17: 1154038 — @HAL
Margherita Giamundo was awarded a 2023 ILCB post-doc fellowship to work with Pascal Belin (INT), in collaboration with Etienne Thoret (PRISM, INT). Her project will address the question of the encoding of voice identity in the primate brain, focusing on the variation in spiking activity of voice-selective neuronal populations of the temporal cortex. Margherita will use an fMRI-guided electrophysiological approach, thanks to the expertise acquired during her PhD and post-doctorate at the Department of Physiology and Pharmacology of the Sapienza University in Rome, and then at the Institut de Neurosciences de la Timone in Marseille. Her project will provide new insights on the neural principles underlying the representation of individual identity in the primate brain.
Clara Bourot was awarded a 2023 ILCB PhD grant, to work with Laurence Reboul (I2M), in collaboration with Arnaud Rey (LPC), and Jean-Marc Freyermuth (I2M), to apply statistical modeling of the developmental trajectory of babies’ vocal productions between 0 and 12 months. Clara obtained Bachelor and Master degrees in Mathematics at Aix-Marseille University, and she developed an interest to the application of statistics in cognitive science, more specifically on the study of language. Her thesis work will focus on the evolution of vocal production over the first 12 months of life in a sample of children. The aim will be to develop a statistical model to account for the presence of different vocal categories produced at each month, as well as the relationship between these categories. This work should enable us to propose new methods for representing and understanding language development in human babies.
Ambre Balleroy was awarded a 2023 ILCB PhD fellowship to work with Thomas Schatz (LIS), Claire Kabdebon (LPC) and Ricard Marxer (LIS). Her PhD project focuses on computational modeling of speech perception in infants. She previously obtained a master’s degree in cognitive science and a bachelor’s degree in language science.