JuLib | Articles & more - {"Computational and Systems Neuroscience; INM-6"}

Optimal signal propagation in ResNets through residual scaling

Fischer, Kirsten
2023

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

2

Statistical Mechanics of Neural Networks

Fischer, Kirsten
2023

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

3

Residual scaling enables optimal signal propagation in ResNets

Fischer, Kirsten
2023

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

4

Signal denoising through topographic modularity of neural circuits

Zajzon, Barna
2023

eLife, 12 (2023) S. e77009

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”
Get full text OpenAccess OpenAccess

5

Learning Interacting Theories from Data

Merger, Claudia
2023

Physical review / X, 13 (2023) 4, S. 041033

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”
Get full text OpenAccess

6

A statistical perspective on learning of time series in neural networks

Nestler, Sandra
2023

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

7

Preprint

Optimal signal propagation in ResNets through residual scaling

Fischer, Kirsten
2023

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”
Get full text OpenAccess

8

Neural networks learning structure in temporal signals

Nestler, Sandra
2023

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

9

Information transfer between correlation functions in neural networks

Fischer, Kirsten
2023

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

10

Dynamics and function of heterogeneous neural networks

Dahmen, David
2023

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

11

Statistical decomposition of feed-forward neural networks: Transfer of information between correlation functions

Fischer, Kirsten
2022

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

12

Unfolding recurrence by Green's functions for optimized reservoir computing

Nestler, Sandra
2022

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”
OpenAccess

13

Global organization of neuronal activity only requires unstructured local connectivity

Dahmen, David
2022

eLife, 11 (2022) S. e68422

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”
Get full text OpenAccess

14

Statistical decomposition of neural networks: Information transfer between correlation functions

Fischer, Kirsten
2022

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

15

Conference Presentation

Low-dimensional activity subspaces emerge from strong recurrency of cortical networks

Dahmen, David
2022

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

16

Conference Presentation

Strong recurrency of cortical networks constrains activity in low-dimensional subspaces

Dahmen, David
2022

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

17

Conference / Event

Information processing through correlated and coordinated responses

Dahmen, David
2022

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

18

Decomposing neural networks as mappings of correlation functions

Fischer, Kirsten
2022

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”

19