JuLib | Articles & more - {"Towards an integrated data science of complex natural systems"}

1

Dissertation / PhD Thesis

Machine Learning for Path Deformation and Bayesian Data Analysis in Selected Lattice Field Theories

Rodekamp, Marcel
2024

“...Towards an integrated data science of complex natural systems...”
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2

Talk (non-conference)

A statistical perspective on learning of time series in neural networks

Nestler, Sandra
2023

“...Towards an integrated data science of complex natural systems...”

3

Journal Article

NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways

Wybo, Willem A. M.
2023

Proceedings of the National Academy of Sciences of the United States of America, 120 (2023) 32, S. e2300558120

“...Towards an integrated data science of complex natural systems...”
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4

Contribution to a conference proceedings

Moments of Parton Distributions Functions from Lattice QCD at the Physical Point

Rodekamp, Marcel
2023

“...Towards an integrated data science of complex natural systems...”
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5

Journal Article

Statistical temporal pattern extraction by neuronal architecture

Nestler, Sandra
2023

Physical review research, 5 (2023) 3, S. 033177

“...Towards an integrated data science of complex natural systems...”
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6

Journal Article

A refined information processing capacity metric allows an in-depth analysis of memory and nonlinearity trade-offs in neurocomputational systems

Schulte to Brinke, Tobias
2023

Scientific reports, 13 (2023) 1, S. 10517

“...Towards an integrated data science of complex natural systems...”
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7

Poster

Dendritic modulation for multitask representation learning in deep feedforward networks

Wybo, Willem
2023

“...Towards an integrated data science of complex natural systems...”
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8

Talk (non-conference)

Neural networks learning structure in temporal signals

Nestler, Sandra
2023

“...Towards an integrated data science of complex natural systems...”

9

Poster

Neuronal extraction of statistical patterns embedded in time series

Nestler, Sandra
2023

“...Towards an integrated data science of complex natural systems...”

10

Journal Article

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

“...Towards an integrated data science of complex natural systems...”
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11

Preprint

Origami in N dimensions: How feed-forward networks manufacture linear separability

Keup, Christian
2022

“...Towards an integrated data science of complex natural systems...”
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12

Conference Presentation

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

Dahmen, David
2022

“...Towards an integrated data science of complex natural systems...”

13

Conference Presentation

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

Dahmen, David
2022

“...Towards an integrated data science of complex natural systems...”

14

Journal Article

Characteristic columnar connectivity caters to cortical computation: Replication, simulation, and evaluation of a microcircuit model

Schulte to Brinke, Tobias
2022

Frontiers in integrative neuroscience, 16 (2022) S. 923468

“...Towards an integrated data science of complex natural systems...”
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15

Journal Article

Meditation-induced effects on whole-brain structural and effective connectivity

De Filippi, Eleonora
2022

Brain structure & function, 227 (2022) 6, S. 2087 - 2102

“...Towards an integrated data science of complex natural systems...”
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16

Contribution to a book
Contribution to a conference proceedings

Covariance Features Improve Low-Resource Reservoir Computing Performance in Multivariate Time Series Classification

Smys, S.
2022

“...Towards an integrated data science of complex natural systems...”

17

Poster

Unfolding recurrence by Green's functions for optimized reservoir computing

Nestler, Sandra
2022

“...Towards an integrated data science of complex natural systems...”
OpenAccess

18

Preprint

Phase Space Analysis of Chaotic Neural Networks

Stubenrauch, Jakob
2022

“...Towards an integrated data science of complex natural systems...”
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19

Contribution to a conference proceedings
Journal Article

Mitigating the Hubbard Sign Problem. A Novel Application of Machine Learning

Rodekamp, Marcel
2022

Proceedings of Science / International School for Advanced Studies, LATTICE2022 (2022) S. 032

“...Towards an integrated data science of complex natural systems...”
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20

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

“...Towards an integrated data science of complex natural systems...”
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