Motion Prediction

[2022-11-21] Alex Reynaud’s lab meeting https://laurentperrinet.github.io/slides/2022-11-21_flash-lag-effect Only the speaker can read these notes Press S key to view Timing in the visual pathways Ultra-rapid visual processing (see review). Compensating visual delays (Perrinet, Adams & Friston 2014).

Due to its inherent neural delays, the visual system has an outdated access to sensory information about the current position of moving …

The flash lag effect (FLE) is a well known visual illusion that reveals the perceptual difference in position coding of moving and …

As it is confronted to inherent neural delays, how does the visual system create a coherent representation of a rapidly changing …

During normal viewing, the continuous stream of visual input is regularly interrupted, for instance by blinks of the eye. Despite these …

Predictive coding hypothesizes that the brain explicitly infers upcoming sensory input to establish a coherent representation of the …

Based on Laurent U Perrinet, Guillaume S Masson (2012). Motion-based prediction is sufficient to solve the aperture problem. Neural Computation. PDF Cite Pdf arXiv see follow-up on motion extrapolation: Mina A Khoei, Guillaume S Masson, Laurent U Perrinet (2013).

In low-level sensory systems, it is still unclear how the noisy information collected locally by neurons may give rise to a coherent …

In low-level sensory systems, it is still unclear how the noisy information collected locally by neurons may give rise to a coherent …

In low-level sensory systems, it is still unclear how the noisy information collected locally by neurons may give rise to a coherent …

Based on Laurent U Perrinet, Guillaume S Masson (2012). Motion-based prediction is sufficient to solve the aperture problem. Neural Computation. PDF Cite Pdf arXiv see follow-up on motion extrapolation: Mina A Khoei, Guillaume S Masson, Laurent U Perrinet (2013).

Sensory informations such as visual images are inherently variable. We use probabilistic models to describe how the low-level visual …

Based on Laurent U Perrinet, Guillaume S Masson (2012). Motion-based prediction is sufficient to solve the aperture problem. Neural Computation. PDF Cite Pdf arXiv see follow-up on motion extrapolation: Mina A Khoei, Guillaume S Masson, Laurent U Perrinet (2013).

Sensory informations such as visual images are inherently variable. We use probabilistic models to describe how the low-level visual …

see this more recent talk @ UCL, London

Based on Laurent U Perrinet, Guillaume S Masson (2012). Motion-based prediction is sufficient to solve the aperture problem. Neural Computation. PDF Cite Pdf arXiv see follow-up on motion extrapolation: Mina A Khoei, Guillaume S Masson, Laurent U Perrinet (2013).