Next-generation neural computations
Next-generation neural computations
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    Andrew Isaac Meso

    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.

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    • Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, Gabriel Peyré (2018). Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures. Neural Computation.

      PDF Cite 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?

    © 2025 Laurent U Perrinet. This work is licensed under CC BY NC ND 4.0

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