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Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings - Nature Machine Intelligence
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Brain networks exist within the confines of resource limitations. As a result, a brain network must overcome the metabolic costs of growing and sustaining the network within its physical space, while simultaneously implementing its required information processing. Here, to observe the effect of these processes, we introduce the spatially embedded recurrent neural network (seRNN).
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