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Dimension of activity in random neural networks
v1v2v3 (latest)

Dimension of activity in random neural networks

25 July 2022
David G. Clark
L. F. Abbott
Ashok Litwin-Kumar
ArXiv (abs)PDFHTML

Papers citing "Dimension of activity in random neural networks"

4 / 4 papers shown
Title
Neuronal correlations shape the scaling behavior of memory capacity and nonlinear computational capability of recurrent neural networks
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
Unified field theoretical approach to deep and recurrent neuronal
  networks
Unified field theoretical approach to deep and recurrent neuronal networks
Kai Segadlo
Bastian Epping
Alexander van Meegen
David Dahmen
Michael Krämer
M. Helias
AI4CEBDL
76
21
0
10 Dec 2021
The Principles of Deep Learning Theory
The Principles of Deep Learning Theory
Daniel A. Roberts
Sho Yaida
Boris Hanin
FaMLPINNGNN
59
245
0
18 Jun 2021
Predicting trends in the quality of state-of-the-art neural networks
  without access to training or testing data
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
Charles H. Martin
Tongsu Peng
Peng
Michael W. Mahoney
83
110
0
17 Feb 2020
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