Ground Truth
2021
Projection, Spray Paint and Plaster on Foam Board
~4’ x 4’ x 6’
Created in collaboration with Guy Gaziv, a Postdoctoral Fellow in Computer Science at Weizmann Institute of Science. View Guy's study.
fMRI image reconstruction studies are attempts to empirically represent our most personal experiences: mental perception and representation. After observing a representational, “ground truth” image in an fMRI machine, participants' neural signals are linked to the image. An artificial neural network compares these image-signal links with images that only have semantic labels, seeking common features in both categories. Its output resembles a rough visual vocabulary of the mind.
The imagery of this piece comes from stock photographs of animals and reconstructed imagery based on measuring neural signals from different parts of the visual cortex. By modeling a physical terrain from these visions, I aim to manifest a conceptual, future environment of the mind that maps to its perceptual rhythm.
