^abDynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networkshttps://proceedings.mlr.press/v80/chen18i.html ^abDynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networkshttps://procee...
Recurrent neural networks have gained widespread use in modeling sequence data across various domains. While many successful recurrent architectures employ a notion of gating, the exact mechanism that enables such remarkable performance is not well understood. We develop a theory for signal propagation in...
S. Dynamical isometry and a mean field theory of rnns: Gating enables signal propagation in recurrent neural networks. arXiv preprint arXiv:1806.05394, 2018.M. Chen, J. Pennington, and S. Schoenholz. Dynamical isometry and a mean field theory of rnns: Gating enables signal propagation in ...
Vogels T, Abbot LF (2005) Signal propagation and logic gating in networks of integrate-and-fire neurons. J Neurosci 25(46):10786–10795 Article PubMed CAS Google Scholar Further Reading A thorough introduction to the theory of spiking networks can be found in the somewhat dated but still hi...
In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP) (pp. 1532-1543). Quadrant M, Karatzoglou A, Hidasi B, Cremonesi P (2017 Aug 27) Personalizing session-based recommendations with hierarchical recurrent neural networks. In: Proceedings of the ...
ScienceLtd.Allrightsreserved. Keywords:Dopamine;InvertedU-curve;D1receptors;Workingmemory;Prefrontalcortex 1.Introduction 1.1.Generalconceptsonneuromodulation Artificialneuralnetworkdynamicsareoftenstudied independentlyoftheinfluenceofneuromodulation. However,itiswellknownthattheactivityofrealneural populationscanbe...
They compared performance between musicians and nonmusicians in the perception and recognition of isolated melodies. Inspired by cohort theory, they used a gating task to identify three cognitive events in the melody perception/recognition process. These events were the familiarity emergence point (FEP)...
Therefore, a deep learning water pollution prediction method was proposed to classify the changing process of pollution to improve the prediction accuracy of water quality, based on candlestick theory, visual geometry group, and gate recurrent unit (CT-VGG-GRU). In this method, after the periodic...