Technische Universität Dresden
Chair of Neuroimaging
Chemnitzer Straße 46b, Room 143, Falkenbrunnen
The Active Inference framework is based on a simple principle : We estimate the plausibility of something based on prior information and expectations. These expectations are then iteratively updated when we make a new observation. Within the Active Inference framework, I work at the interface of computational models and neuroimaging to try and answer the following questions : How does the brain select among various actions to pursue a goal ? When the environment is uncertain, how are goal-directed behavioral computations implemented by the brain?
I have side interests in (i) hippocampal contributions in neuronal hierarchies, (ii) how internally-generated sequences play a role in encoding trajectories through various state spaces, and (iii) off-line learning’s contribution to decision making (forward planning) and the evaluation of transitions.
|2016 - present||Present PhD Candidate TU Dresden|
|2015 - 2016||MSc. Integrative Biology and Physiology — Neuroscience. École Normale Supérieure, Sorbonne Université Paris-VI Pierre et Marie Curie, Paris, France|
|2014 - 2015||MSc. Brain and Mind Sciences. Institute of Neurology, University College London, London, United Kingdom|
|2011 – 2014||BS Neuropsychology, Sorbonne Université Paris-V René Descartes, Paris, France|
|2016||Graduate Research Assistant and Masters Thesis. Neurospin, INSERM, Commissariat à l’Énergie Atomique, Gif-sur-Yvette, France|
|2015||Graduate Research Assistant and Masters Thesis. Wellcome Trust Center for Neuroimaging, University College London, London, United Kingdom|
|2014||Research Assistant. IRCAM – Institut de Recherche et Coordination Acoustiqu/ Musique, CNRS, Paris, France|