Brain-inspired AI inspires insights about the brain (and vice versa)

(University of Texas at Austin, Texas Advanced Computing Center) In a paper presented at the 2018 Conference on Neural Information Processing Systems (NeurIPS), researchers from The University of Texas at Austin 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. The work employed a type of recurrent neural network called long short-term memory (LSTM) that includes in its calculations the relationships of each word to what came before to better preserve context.

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