Deep learning algorithms, natural language processing, and the brain, with Jean-Rémi King
The Language Neuroscience Podcast
Factors for Algorithm Similarity to the Brain
This chapter explores the factors that contribute to the similarity between algorithms and the brain, focusing on the ability to predict the next word in text-based models. It discusses the importance of choosing the right model architecture and parameters for predicting brain activity, as well as the concept of predictive coding and its relevance to language processing.
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