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Found 3 papers, 1 papers with code
Predictive coding in balanced neural networks with noise, chaos and delays
However, the theoretical principles governing the efficacy of balanced predictive coding and its robustness to noise, synaptic weight heterogeneity and communication delays remain poorly understood.
Statistical mechanics of low-rank tensor decomposition
Often, large, high dimensional datasets collected across multiple modalities can be organized as a higher order tensor.
Optimal Architectures in a Solvable Model of Deep Networks
Deep neural networks have received a considerable attention due to the success of their training for real world machine learning applications.
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