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Talk (non-conference)

Gell-Mann-Low criticality in neural networks

Tiberi, Lorenzo
2023

2

Journal Article

Gell-Mann–Low Criticality in Neural Networks

Tiberi, Lorenzo
2022

Physical review letters, 128 (2022) 16, S. 168301

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3

Code and data for:Keup et al. (2021) Transient Chaotic Dimensionality Expansion by Recurrent Networks. PRX 11, 021064

Keup, Christian
2021

4

Journal Article

Transient Chaotic Dimensionality Expansion by Recurrent Networks

Keup, Christian
2021

Physical review / X, 11 (2021) 2, S. 021064

OpenAccess

5

Transient chaotic SNR amplification

Keup, Christian
2021

Restricted OpenAccess Restricted

6

Journal Article

Large-Deviation Approach to Random Recurrent Neuronal Networks: Parameter Inference and Fluctuation-Induced Transitions

van Meegen, Alexander
2021

Physical review letters, 127 (2021) 15, S. 158302

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7

Large Deviation Approach to Random Recurrent Neuronal Networks: Rate Function, Parameter Inference, and Activity Prediction

van Meegen, Alexander
2020

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8

Transient chaotic dimensionality expansion by recurrent networks

Keup, Christian
2020

S. 2002.11006

OpenAccess

9

Journal Article

Self-consistent formulations for stochastic nonlinear neuronal dynamics

Stapmanns, Jonas
2020

Physical review / E covering statistical, nonlinear, biological, and soft matter physics, 101 (2020) 4, S. 042124

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10

Inferring random network parameters from continuous-time trajectories

van Meegen, Alexander
2020

11

Conference Presentation

Functional Renormalization Group for Stochastic Rate Neurons

Kühn, Tobias
2019

OpenAccess OpenAccess

12

Talk (non-conference)

(Mean-)Field Theory Methods in Neuroscience

Kühn, Tobias
2019

OpenAccess OpenAccess

13

Renormalization Group for Spatially Extended Neuronal Networks

Stapmanns, Jonas
2019

14

A bridge from large deviation theory to statistical field theory

van Meegen, Alexander
2019

15

Conference Presentation

A bridge from large deviation theory to statistical field theory

van Meegen, Alexander
2019

16

Taming Stochastic, Nonlinear Rate Neurons With Field Theory

Stapmanns, Jonas
2019

OpenAccess OpenAccess

17

Conference Presentation

Expanding the effective action around non-Gaussian theories

Kühn, Tobias
2018

18

Dynamics of Cell Assemblies in Binary Neuronal Networks

Keup, Christian
2018

OpenAccess

19

TAP-Approximation and beyond with Feynman diagrams

Kühn, Tobias
2018

20

Self-consistent formulations for stochastic nonlinear neuronal dynamics

Stapmanns, Jonas
2018

OpenAccess OpenAccess

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