Dekel Galor - Projects

Recent Projects

D. Galor, Jude F. Mitchell, Daniel A. Butts, Jacob L. Yates

Uncovering the role of eye movements as a primary driver of neuron activity in the visual cortex.
Demonstrate simple mechanisms that explain this activity only using a feed-forward model! (No recurrence/external motor signals.)
Propose a novel activation function SplitReLU, and show that CNNs using it exhibit emergent physiological selectivity throughout.
Break the traditionally used "upper bound" of explainable variance, showing its likely that fixational eye movements significantly drive activity in the visual cortex.
Show that large ResNets can match more interpretable models with little engineering, and compare between the two using interpretable ML.
State-of-the-art neural data from the primary visual cortex around the center of gaze (!) with spatiotemporal modeling at 240hz (!), during natural free-viewing (!), and using extremely high precision (sub-cone resolution!) DDPI eyetracking.

D. Galor*, R. Cao*, Jacob L. Yates, Laura Waller

- Reconstruct static scenes from noise statistics in event-based cameras
- Works in post processing, requires no hardware modifications
- Applications in
  1. adaptive event denoising
  2. simultaneous denoising & scene estimation

D. Galor*, G. Meng*, Laura Waller, Martin Banks

- Applying tools from signal processing and vision science to improve the display design process for VR.
- Created a novel formula for a human visual model (CSF formula).
- Created a GPU-accelerated software toolkit for simulating human perception during display design.
- Available as a GPU accelerated serverless website, or open-source executable.

D. Galor* and R. Mei*