L2M – SilicoLabs

SilicoLabs’ software revolutionizes psychology/neuroscience research by harnessing XR to create real-world simulations. Researchers import their 3D models, video, audio, images and creating dynamic interactions between them and the participant – all without writing a single line of code! Researchers determine which variables they want to track (e.g., number of times an object is picked up) and how they want to deliver the simulation. Using the variable system, simulations not only capture comprehensive behavioural data but also seamlessly integrate biosensor information, such as brain waves via EEG. The resulting datasets hold immense value, as they can be analysed using machine learning techniques, uncovering patterns and predicting human behaviour. Further, AI agents can be trained on these datasets and tested within the same simulations, closely emulating human cognition (Sun et al, 2022).

Faculty Supervisor:

Joseph Ferenbok

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Artificial Intelligence; Health and Related Sciences & Technology

University:

University of Toronto

Program: