Next-generation neural computations
Next-generation neural computations
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Andrew Isaac Meso
Lecturer, King’s College London (IOPPN).
Main collaborative work:
Jonathan Vacher
,
Andrew Isaac Meso
,
Laurent U Perrinet
,
Gabriel Peyré
(2015).
Biologically Inspired Dynamic Textures for Probing Motion Perception
.
Advances in Neural Information Processing Systems
.
Cite
Pdf
PDF
arXiv
Jonathan Vacher
,
Andrew Isaac Meso
,
Laurent U Perrinet
,
Gabriel Peyré
(2018).
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures
.
Neural Computation
.
PDF
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DOI
URL
arXiv
Latest
An open-source vision-science tool for the auto-regressive generation of dynamic stochastic textures Motion Clouds
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures
A Mathematical Account of Dynamic Texture Synthesis for Probing Visual Perception
Biologically Inspired Dynamic Textures for Probing Motion Perception
Beyond simply faster and slower: exploring paradoxes in speed perception
Dynamic Textures For Probing Motion Perception
How and why do image frequency properties influence perceived speed?
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