Introduction to dynamical mean-field theory of randomly connected neural
networks with bidirectionally correlated couplings

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Introduction to dynamical mean-field theory of randomly connected neural networks with bidirectionally correlated couplings

15 May 2023

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Papers citing "Introduction to dynamical mean-field theory of randomly connected neural networks with bidirectionally correlated couplings"

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Neuronal correlations shape the scaling behavior of memory capacity and nonlinear computational capability of recurrent neural networks Shotaro Takasu Toshio Aoyagi 75 0 0 28 Apr 2025
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model Kaito Takanami Takashi Takahashi Ayaka Sakata 92 1 0 27 Jan 2025
Spectrum of non-Hermitian deep-Hebbian neural networks Zijian Jiang Ziming Chen Tianqi Hou Haiping Huang 21 5 0 24 Aug 2022
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks Blake Bordelon Cengiz Pehlevan MLT 69 84 0 19 May 2022
Unified field theoretical approach to deep and recurrent neuronal networks Kai Segadlo Bastian Epping Alexander van Meegen David Dahmen Michael Krämer M. Helias AI4CE BDL 76 21 0 10 Dec 2021