Prediction in the Brain: New Blog Post
Most neural network models have the property that they store incoming information over time sequentially, and then use additional mechanisms to weigh information by importance and learn connections between the serially stored information. Both transformer and GRU (LSTM) type networks use this architecture. They store information in a common network, without modularization. Additional adjustments attempt […]
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