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1
Talk (non-conference)
Fluctuations, correlations, chaos: dynamics and computation in recurrent networks
Helias, Moritz
2021
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2
Book
Statistical
Field
Theory
for Neural Networks
Helias, Moritz
2020
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3
Preprint
Large Deviation Approach to Random Recurrent Neuronal Networks: Rate Function, Parameter Inference, and Activity Prediction
van Meegen, Alexander
2020
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4
Talk (non-conference)
Correlations, chaos, and criticality in neural networks
Helias, Moritz
2020
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5
Poster
A bridge from large deviation theory to
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theory
van Meegen, Alexander
2019
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6
Poster
Optimized Reservoir Computing with Stochastic Recurrent Networks
Nestler, Sandra
2019
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7
Conference Presentation
A bridge from large deviation theory to
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theory
van Meegen, Alexander
2019
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8
Poster
Dynamics of Cell Assemblies in Binary Neuronal Networks
Keup, Christian
2018
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9
Poster
Dynamics of Cell Assemblies in Binary Neuronal Networks
Keup, Christian
2018
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10
Abstract
Dynamics of cell assemblies in binary neuronal networks
Keup, Christian
2017
2017
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Helias, Moritz
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Kühn, Tobias
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Theory of multi-scale neuronal networks
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Human Brain Project Specific Grant Agreement 2
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Connectivity and Activity
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Doktorand ohne besondere Förderung
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Computational Principles
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Emerging NC Architectures
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Human Brain Project Specific Grant Agreement 3
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Neuroscientific Foundations
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Supercomputing and Modelling for the Human Brain
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Recurrence and stochasticity for neuro-inspired computation
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Towards an integrated data science of complex natural systems
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Transparent Deep Learning with Renormalized Flows
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Contributing Institute
Computational and Systems Neuroscience; IAS-6
10
Computational and Systems Neuroscience; INM-6
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Jara-Institut Brain structure-function relationships; INM-10
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