Universality and individuality in neural dynamics across large populations of recurrent networks

NeurIPS 2019 Niru MaheswaranathanAlex H. WilliamsMatthew D. GolubSurya GanguliDavid Sussillo

Task-based modeling with recurrent neural networks (RNNs) has emerged as a popular way to infer the computational function of different brain regions. These models are quantitatively assessed by comparing the low-dimensional neural representations of the model with the brain, for example using canonical correlation analysis (CCA)... (read more)

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