Research

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  • Textures Synthesis for Vision Studies

A python example code to generate Motion Clouds is available here. Many dynamic texture examples are shown here.

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References:

  1. Vacher, J., Meso, A. I., Perrinet, L. U. & Peyré, G. Biologically inspired dynamic textures for probing motion perception. in Advances in Neural Information Processing Systems (Spotlight – top 5%) (2015).
  2. Vacher, J., Meso, A. I., Perrinet, L. U. & Peyré, G. Bayesian modeling of motion perception using dynamical stochastic textures. Neural computation 30, 3355–3392 (2018).
  3. Vacher, J., Davila, A., Kohn, A. & Coen-Cagli, R. Texture Interpolation for Probing Visual Perception. Advances in Neural Information Processing Systems (Spotlight – top 5%) (2020).
  • Perception and Neurophysiology

Psychophysics

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References:

  1. Roggerone, V., Vacher, J., Tarlao, C. & Guastavino, C. Auditory motion perception emerges from successive sound localizations integrated over time. Scientific Reports 9, 16437 (2019).
  2. Vacher, J., Meso, A. I., Perrinet, L. U. & Peyré, G. Bayesian modeling of motion perception using dynamical stochastic textures. Neural computation 30, 3355–3392 (2018).

Neurophysiology

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References:

  1. Vacher, J. Dynamic Textures Synthesis for Probing Vision in Psychophysics and Electrophysiology. (Paris Dauphine University, 2017).

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