Decoding How Humans Encode Memories (Fall - 2022)

Description

In this project, we will work on semantically aligning IoT sensor data and neural data with the human experience. We have developed a sensor platform to record the human experience as patients perform navigational tasks. The goal is to understand what context shifts in the human experience anchor our episodic memories. Each student will have the opportunity to work with different sensing modalities, and develop models for both sensory perception and reasoning.

Students

• Helin Yilmaz

• Ao Xu

• Ketki Kinkar

• Saurabh Koshatwar

• Christian Bryan

• Ashley Sue

Advisors

• Luis Garcia

Skills Required by the team

• Python
• PyTorch
• Tensorflow