Scholar
Steeve Laquitaine
Google Scholar ID: ftTg_S4AAAAJ
Postdoc, Swiss Federal Institute of Technology, Visiting KU Leuven, Stanford Alumnus
Citations & Impact
Citations
66
H-index
4
i10-index
3
Publications
15
Co-authors
10
list available
Resume (English only)
Academic Achievements
- Involved in multiple projects studying how the brain integrates context information for decision-making; Developed experimental, computational approaches, and machine learning tools for analyzing stimulus and context encoding in large-scale biophysically-detailed simulations of the primary somatosensory cortex of rodents.
Research Experience
- Currently a postdoc leading research in Michael Reimann's lab at the Blue Brain Project, EPFL; Previously worked with Prof. Justin Gardner at Stanford University, using psychophysics, fMRI, and Bayesian modeling to link human visual choices with cortical activity.
Education
- PhD from the University of Bordeaux, France, under the supervision of Prof. Thomas Boraud; Focus during PhD: Conducted multi-electrode array (MEA) recordings in the Basal Ganglia of primates trained to perform a stochastically rewarded two-choice task, specialized in developing statistical approaches and reinforcement learning models to link animal choices with measured MEA spiking activity.
Background
- Research Interests: Efficient inference & decision-making in biological & artificial neural networks; Specialization: Computational Neuroscience; Summary: Uses mathematical theory and computational models to link large-scale neural recordings with psychophysics.
Miscellany
- Personal interests not specified
