Next-generation neural computations
Next-generation neural computations
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Anr-Speed
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures
A common practice to account for psychophysical biases in vision is to frame them as consequences of a dynamic process relying on …
Jonathan Vacher
,
Andrew Isaac Meso
,
Laurent U Perrinet
,
Gabriel Peyré
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arXiv
Speed uncertainty and motion perception with naturalistic random textures
It is still not fully understood how visual system integrates motion energy across different spatial and temporal frequencies to build …
Kiana Mansour-Pour
,
Nikos Gekas
,
Pascal Mamassian
,
Laurent U Perrinet
,
Anna Montagnini
,
Guillaume S Masson
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Visual motion processing and human tracking behavior
Appeared in this book:
Gabriel Cristóbal
,
Laurent U Perrinet
,
Matthias S Keil
(2015).
Biologically Inspired Computer Vision
.
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URL
Anna Montagnini
,
Laurent U Perrinet
,
Guillaume S Masson
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arXiv
Biologically Inspired Dynamic Textures for Probing Motion Perception
Talk @ NeurIPS:
https://neurips.cc/Conferences/2015/Schedule?showEvent=5418
See a followup in
Jonathan Vacher
,
Andrew Isaac Meso
,
Laurent U Perrinet
,
Gabriel Peyré
(2018).
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures
.
Neural Computation
.
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DOI
URL
arXiv
Jonathan Vacher
,
Andrew Isaac Meso
,
Laurent U Perrinet
,
Gabriel Peyré
Cite
Pdf
PDF
arXiv
Beyond simply faster and slower: exploring paradoxes in speed perception
Estimating object speed in visual scenes is a critical part of perception. While various aspects of speed computation including …
Andrew Isaac Meso
,
Claudio Simoncini
,
Laurent U Perrinet
,
Guillaume S Masson
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How and why do image frequency properties influence perceived speed?
Humans are able to interact successfully with moving objects in our dynamic world and the visual system effi ciently performs the …
Andrew Isaac Meso
,
Claudio Simoncini
,
Laurent U Perrinet
,
Guillaume S Masson
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