Motion: Models, neural mechanisms

Poster Session: Saturday, May 20, 2023, 8:30 am – 12:30 pm, Pavilion

Abstract# 

Poster Title

First Author

23.401

Strong interaction between low and high spatial frequencies using induced motion at short durations under binocular and dichoptic viewing.

Bachtoula, Omar

23.402

Linking Intuitive Physics to Social Cognitive Attributions

Torabian Esfahani, Sajjad

23.403

Prediction of the direction of motion after-effect when the induction phase stimulus is multi-stable

Lenouvel, Juliette

23.404

Modeling of Human Motion Perception Mechanism: A Simulation based on Deep Neural Network and Attention Transformer

sun, Zitang

23.405

A simple non-linear neural summation model predicts basic and complex motion perception phenomena

Luna, Raúl

23.406

Spatial summation for motion detection

Solomon, Joshua

23.407

Motion Extrapolation Across the Visual Periphery

Hakala, Tero

23.408

Bayesian analysis of motion priors and speed discrimination in the periphery

Nguyen, Amy

23.409

Using perception and short latency ocular-following responses (OFRs) to study early visual motion-detecting mechanisms.

Sheliga, Boris

23.410

Natural-image-computable Bayesian model for 3D motion estimation

Herrera, Daniel

23.411

Modeling fMRI responses to complex dynamic stimuli with two-stream convolutional networks

Karimi, Hamed

23.412

Causal inference predicts the effect of motion uncertainty in motion integration/segregation tasks.

Penaloza, Boris