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BRAIN COMPUTER INTERFACES
We build BCIs to optimize human-machine interaction
COMPUTATIONAL NETWORK MODELS
We use computational approaches to infer brain networks
We apply ML to encoding and decoding brain activity
We use neuroimaging to identify the neural constructs underlying cognition and behavior
Welcome to LIINC
Columbia University’s Laboratory for Intelligent Imaging and Neural Computing (LIINC) was founded in September 2000 by Prof. Paul Sajda. The mission of LIINC is to use principles of reverse “neuro”-engineering to characterize the cortical networks underlying perceptual and cognitive processes, such as rapid decision making, in the human brain. Our laboratory pursues both basic and applied neurosciences research projects.
LIINC is located on the 10th floor of Northwest Corner Building at Columbia University. If you have any additional inquiries, or if you would be interested in collaborating with our laboratory, please feel free to contact us.
Hey Innovators, Tech Enthusiasts, and Dreamers! Mark your calendars for March 8-11 because something extraordinary is coming to Columbia University - the Neureality Hackathon! This is the first-ever Hackathon to explore the limitless potential of neurotechnology collides with the immersive world of virtual reality.
Get Ready for the Neureality Hackathon - Where Neurotech Meets Virtual Reality!
In a remarkable achievement, Dr. Xueqing Liu, a previous Ph.D. student and now LIINC postdoc, was awarded the prestigious Best Paper Award at the 16th International Conference on Brain Informatics (BI 2023) held in Hoboken & New Jersey. Her paper, "Fusing Simultaneously Acquired EEG and fMRI via Hierarchical Deep Transcoding," garnered unanimous praise for its originality, rigorous methodology, and profound implications for Bioinformatics.