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

Neural networks learning structure in temporal signals

Nestler, Sandra
2023

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

2

Preprint

Optimal signal propagation in ResNets through residual scaling

Fischer, Kirsten
2023

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”
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3

Optimal signal propagation in ResNets through residual scaling

Fischer, Kirsten
2023

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

4

Statistical Mechanics of Neural Networks

Fischer, Kirsten
2023

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

5

Residual scaling enables optimal signal propagation in ResNets

Fischer, Kirsten
2023

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

6

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...”
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7

Information transfer between correlation functions in neural networks

Fischer, Kirsten
2023

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

8

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...”
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9

Dynamics and function of heterogeneous neural networks

Dahmen, David
2023

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

10

A statistical perspective on learning of time series in neural networks

Nestler, Sandra
2023

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

11

Decomposing neural networks as mappings of correlation functions

Fischer, Kirsten
2022

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

12

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...”

13

Unified field theoretical approach to deep and recurrent neuronal networks

Segadlo, Kai
2022

Journal of statistical mechanics: theory and experiment, 2022 (2022) 10, S. 103401

“...Computational and Systems Neuroscience; INM-6 Computational and Systems Neuroscience...”
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14

Decomposing neural networks as mappings of correlation functions

Fischer, Kirsten
2022

Physical review research, 4 (2022) 4, S. 043143

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

15

Preprint

Decomposing neural networks as mappings of correlation functions

Fischer, Kirsten
2022

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

16

Statistical decomposition of neural networks: Information transfer between correlation functions

Fischer, Kirsten
2022

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

17

Unfolding recurrence by Green's functions for optimized reservoir computing

Nestler, Sandra
2022

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

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