Open positions

If you are interested in joining my team within the LPL (CNRS UMR 7309) in Aix-en-Provence as a Master’s student, PhD student, or postdoctoral researcher, feel free to contact me at any time, even if no open position matching your profile is currently advertised.

Postdoctoral positions

There are currently no officially announced postdoctoral positions, but feel free to contact me at any time to inquire about opportunities.

PhD positions

There are currently no officially announced PhD positions, but feel free to contact me at any time to inquire about opportunities.

Master’s degree research internships

Supervision: Ladislas Nalborczyk

Problem description: TBD

Project structure:

  • Understanding the problem (literature work on inner speech and multivariate pattern analyses)
  • Implementing (from partially existing code) and performing individual-level and group-level analyses (in Python using MNE-Python)
  • Discussing the results and writing a report (thesis)

Key references:

  • King, J.-R., & Dehaene, S. (2014). Characterizing the dynamics of mental representations: The temporal generalization method. Trends in Cognitive Sciences, 18(4), 203–210. https://doi.org/10.1016/j.tics.2014.01.002
  • Lœvenbruck, H., Grandchamp, R., Rapin, L., Nalborczyk, L., Dohen, M., Perrier, P., Baciu, M., & Perrone-Bertolotti, M. (2018). A cognitive neuroscience view of inner language: To predict and to hear, see, feel. In P. Langland-Hassan & A. Vicente (Eds.), Inner speech: New voices (p. 37). Oxford University Press.

Computer tools: Python, MNE-Python, scikit-learn, MVPA

Key-words: Cognitive Neuroscience, Electroencephalography

Supervision: Ladislas Nalborczyk

Project description: The mental production of speech or “inner speech” is a remarkable and foundational ability in humans, involved in a plethora of activities such as reading, writing, planning, or remembering. Inner speech is generally accompanied by a subjective multisensory experience featuring most notably auditory percepts (the “inner voice”). Despite the ubiquity of this inner voice, the cognitive and neural mechanisms leading to this rich subjective experience remain poorly known. One prominent perspective is that the auditory content of inner speech would correspond to the predicted sensory consequences of inhibited speech acts. The study conducted by Scott (2013) provided one of the few pieces of experimental evidence suggesting that inner speech indeed involves a mental simulation of speech motor commands, as evidenced by sensory attenuation of the concomitant (and congruent) perception of external speech sounds during inner speech. Although being widely cited in the inner speech literature, one major limitation of this study is that it does not assess inner speech, but rather what is commonly referred to as silent speech, which is the mouthed but silent production of speech (i.e., speech produced with visible articulatory movements, but without phonation). Inner speech, on the other hand, does not involve visible articulatory movements. Therefore, we aim to replicate this study with a larger sample of participants and, crucially, by adding a proper inner speech condition. The protocol for this study currently under review as a registered report.

Project structure:

  • Understanding the problem (literature work on inner speech and internal models)
  • Implementing the experiment (from partially existing code) in Python/PsychoPy
  • Collecting the behavioural data
  • Analysing the behavioural data (in R)
  • Discussing the results and writing a report (thesis)

Key references:

  • Delem, M., Stauffert, N., Nguyen, N., Debarnot, U., Guillot, A., & Nalborczyk, L. (2024, March 27). Does the corollary discharge provide the sensory content of inner speech? A preregistered direct replication and extension of Scott (2013). https://doi.org/10.31234/osf.io/abps9
  • Scott, M. (2013). Corollary Discharge Provides the Sensory Content of Inner Speech. Psychological Science, 24(9), 1824–1830. https://doi.org/10.1177/0956797613478614
  • Lœvenbruck, H., Grandchamp, R., Rapin, L., Nalborczyk, L., Dohen, M., Perrier, P., Baciu, M., & Perrone-Bertolotti, M. (2018). A cognitive neuroscience view of inner language: To predict and to hear, see, feel. In P. Langland-Hassan & A. Vicente (Eds.), Inner speech: New voices (p. 37). Oxford University Press.

Computer tools: R, Python, PsychoPy

Key-words: Experimental Psychology, Psycholinguistics