Pierre-Étienne Fiquet
Research Fellow,
Center for Computational Neuroscience,
Flatiron Institute,
Simons Foundation
160 Fifth Ave, Rm 410
New York, NY 10010
e-mail: pfiquet@flatironinstitute.org
Research: My research goal is to understand the principles of neural computation that underlie adaptive behavior. I am interested in the temporal prediction, representation, and estimation of sensory information, including visual motion, the statistical properties of natural images, and optimal inference.
Previously: I obtained my Ph.D. in Neural Science from New York University, advised by Eero Simoncelli. Before moving to the United States, I graduated from École Normale Supérieure in Paris, where I completed my M.S. in Cognitive Science working with Sophie Denève and Christian Machens.
Publications
Video prediction using score-based conditional density estimation
P-E Fiquet and E P Simoncelli. Technical Report 2411.00842, Oct 2024.
Abstract | PDF
Visual Temporal Prediction: Representation, Estimation, and Modeling
Pierre-Etienne Fiquet. PhD thesis, Center for Neural Science, New York University,
New York, NY, Sep 2024.
Abstract | PDF
A polar prediction model for learning to represent visual transformations
P-E Fiquet and E P Simoncelli. Adv. Neural Information Processing Systems (NeurIPS), vol.36 Dec 2023.
Abstract | PDF | Code
Plenoptic: A platform for synthesizing model-optimized visual stimuli
L R Duong, K Bonnen, W F Broderick, P E Fiquet, N Parthasarathy, T E Yerxa, X Zhao and E P Simoncelli. Annual Meeting, Vision Sciences Society, vol.23 May 2023.
Abstract | Code
Neural representation and predictive processing of dynamic visual signals
P-E Fiquet and E P Simoncelli. Computational and Systems Neuroscience (CoSyNe), Mar 2023.
Abstract
Neuromatch Academy: a 3-week, online summer school in computational neuroscience
B t Hart, ..., P-E Fiquet, etal. Journal of Open Source Education, 5(49), p.118., Mar 2022.
PDF
A principled model of robust neural dynamics in premotor cortex
N Calaim, P-E Fiquet, S Denève, and C Machens. Computational and Systems Neuroscience (CoSyNe), Mar 2017.
Abstract
Robustness of Recurrent Spiking Networks
Pierre-Etienne Fiquet. MS thesis, Cognitive Science Department, École Normale Superieure,
Paris, June 2016.
PDF