DEPARTMENT OF COMPUTER ENGINEERING
CSE 590 COURSE SEMINAR
Reconstructing Visual Experiences from fMRI Brain Activity Using Deep Learning
Burcu Ece Kartal
Date & Time: Monday, January 13, 2025, 16:00
Place: https://meet.google.com/ovx-cpww-ath
All interested are cordially invited.
ABSTRACT
Advancements in artificial intelligence and neuroscience have revolutionized the understanding of how the brain encodes and processes visual experiences, including viewed images. This seminar explains the innovative use of important neural network architectures in this area such as Generative Adversarial Networks, Convolutional Neural Networks and Variational Autoencoders to decode fMRI (Functional Magnetic Resonance Imaging) brain activity. The reconstruction process of visual stimuli provides insights into the intricate neural pathways that convert sensory input into meaningful images. By mapping complex neural signals to visual representations, the encoding and decoding processes of the brain reveal connections between neural activity and perception, advancing the boundaries of brain-computer interfaces and cognitive research. In addition, various reconstruction models will be compared in terms of efficiency and adaptability in addressing the challenges of decoding fMRI data and reconstructing visual experiences.
BIOGRAPHY
Burcu Ece Kartal is a M.Sc. Student at Computer Engineering Program of Yeditepe University. Holding a Bachelor’s Degree in Computer Engineering from the same department in 2022, she enhanced her foundation in biotechnology in the Bioengineering M.Sc. Program at Gebze Technical University between 2022-2023. Currently, as a member of CNVP Lab, she focuses on research on brain imaging.
