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Input correlations impede suppression of chaos and learning in balanced
  rate networks

Input correlations impede suppression of chaos and learning in balanced rate networks

24 January 2022
Rainer Engelken
Alessandro Ingrosso
Ramin Khajeh
Sven Goedeke
L. F. Abbott
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Papers citing "Input correlations impede suppression of chaos and learning in balanced rate networks"

1 / 1 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
34
0
0
28 Apr 2025
1