Download this episode
Patients who have injuries or tumors on the neuron connectivity have difficulties in connecting the visual stimulus and cognition. The cutting edge research done by professor from Stanford University discovered that by decoding the ECoG signal collected from the brain, the machine learning algorithm can discover what image is actually displayed to the patients, which bridges the gap between visual stimulus and cognition.
In this talk, we will discuss: general introduction of the ML algorithm in decoding ECoG signal; show the benchmark with the original paper; the challenges and main differences in converting Matlab code to R code; how we build the end-to-end analytics pipeline using Cortana Intelligence Suites and how we build the starter experiment to launch March Madness competition
Available formats for this video:
Actual format may change based on video formats available and browser capability.
Comments have been closed since this content was published more than 30 days ago, but if you'd like to send us feedback you can Contact Us.