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

Dendritic modulation for multitask representation learning in deep feedforward networks

Wybo, Willem
2023

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Toward reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning

Zajzon, Barna
2023

Frontiers in integrative neuroscience, 17 (2023) S. 935177

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A statistical perspective on learning of time series in neural networks

Nestler, Sandra
2023

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Information transfer between correlation functions in neural networks

Fischer, Kirsten
2023

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Residual scaling enables optimal signal propagation in ResNets

Fischer, Kirsten
2023

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JUNCA Tutorial on NESTML

Linssen, Charl
2023

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NESTML 5.2.0

Linssen, Charl
2023

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Dynamics and function of heterogeneous neural networks

Dahmen, David
2023

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Exploiting network topology in brain-scale multi-area model simulations

Lober, Melissa
2023

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Modeling and simulating spiking neurons and synaptic plasticity with NESTML

Linssen, Charl
2023

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Software

NEST 3.4

Sinha, Ankur
2023

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

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Neuronal Population Activity in Macaque Visual Cortices Dynamically Changes through Repeated Fixations in Active Free Viewing

Yamane, Yukako
2023

eNeuro, 10 (2023) 10, S. ENEURO.0086-23.2023 -

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Research Data Management and Data Sharing for Reproducible Research—Results of a Community Survey of the German National Research Data Infrastructure Initiative Neuroscience

Klingner, Carsten M.
2023

eNeuro, 10 (2023) 2, S. ENEURO.0215-22.2023 -

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

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Learning Interacting Theories from Data

Merger, Claudia
2023

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

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NEST - ways to install

Graber, Steffen
2023

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NESTML 5.3.0

Linssen, Charl
2023

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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

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

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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

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