Can artificial intelligence (AI) help us understand how the brain understands language? Can neuroscience help us understand why AI and neural networks are effective at predicting human perception?
Research from Alexander Huth and Shailee Jain from The University of Texas at Austin (UT Austin) suggests both are possible.
In a paper presented at the 2018 Conference on Neural Information Processing Systems (NeurIPS), the scholars described the results of experiments that used artificial neural networks to predict with greater accuracy than ever before how different areas in the brain respond to specific words.
