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Found 3 papers, 1 papers with code
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Replay is the reactivation of one or more neural patterns, which are similar to the activation patterns experienced during past waking experiences.
Biologically inspired sleep algorithm for artificial neural networks
First, in an incremental learning framework, sleep is able to recover older tasks that were otherwise forgotten in the ANN without sleep phase due to catastrophic forgetting.
Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings
In all of our simulated data, the differential covariance-based methods achieved better or similar performance to the GLM method and required fewer data samples.
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