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This repo contains an example implementation of the Simple Graph Convolution (SGC) model, described in the ICML2019 paper Simplifying Graph Convolutional Networks. SGC removes the nonlinearities and ...

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify ...

Modifying recurrent neural networks to encode working memory with transient trajectory leads to higher performance in simulated tasks, supporting the transient activity theory as a working memory ...

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