CARNegie Mellon Grad Students RAMP UP Neuro research with AI!
Three grad students from Carnegie Mellon University are making big waves with their groundbreaking research using artificial intelligence (AI) to advance neuroscience. These students are breaking barriers and shattering glass ceilings, as they develop new techniques for understanding human vision and cognition. They are set to present their work at the 2023 NeurIPS conference, which takes place this December in New Orleans — so stay tuned for more details on their fascinating findings!
Meet the impressive trio: Andrew Luo, Joel Ye, and Gabriel Sarch are pushing the boundaries of neuroscience research with their innovative work. Luo developed the Brain Diffusion for Visual Exploration (BrainDiVE) to synthesize brain-activating images, Ye created Neural Data Transformer 2 (NDT2) to analyze neural spiking activity, and Sarch developed a technique to train neural networks to predict brain responses to large-scale datasets of natural scenes. It’s truly mind-blowing stuff!
These superstar grad students are teaming up with faculty and post-doctoral researchers from various departments, leading the charge to unlock new insights into the mysteries of human vision and brain function. Their goal is to revolutionize the way we approach neuroscience research, leveraging cutting-edge AI to propel the field forward. With their presentations at the upcoming NeurIPS conference, they’re bound to make a huge impact on the world of neuroscience.
So, what do you think of these fascinating developments? How could AI revolutionize our understanding of human vision and cognition? Share your thoughts in the comments below and let’s continue the conversation!
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