Sven Goedeke 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	405	338
h 指数	8	8
i10 指数	7	7

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Raoul-Martin MemmesheimerProfessor of Theoretical Neuroscience/Theoretical Biology, Bonn University在 uni-bonn.de 的电子邮件经过验证
Moritz HeliasInst. for Neuroscience and medicine (INM-6), Jülich; Faculty of Physics, RWTH Aachen在 fz-juelich.de 的电子邮件经过验证
Felipe Yaroslav Kalle KossioNeural Network Dynamics and Computation, University of Bonn在 uni-bonn.de 的电子邮件经过验证
Jannis SchueckerResearch Fellow at Fraunhofer IAIS在 iais.fraunhofer.de 的电子邮件经过验证
Christian KlosUniversity of Bonn在 uni-bonn.de 的电子邮件经过验证
David DahmenInst. for Neuroscience and Medicine & Inst. for Advanced Simulation, Research Centre Jülich在 fz-juelich.de 的电子邮件经过验证
Wilhelm BraunUniversity Medical Center Hamburg-Eppendorf (UKE), Institute of Computational Neuroscience在 uke.de 的电子邮件经过验证
Fabian PallasdiesInstitut for theoretical biology, Humboldt University Berlin在 hu-berlin.de 的电子邮件经过验证
Markus DiesmannDirector, INM-6 and IAS-6, Jülich Research Centre在 fz-juelich.de 的电子邮件经过验证
Aditya GilraCentrum Wiskunde & Informatica (CWI)在 cwi.nl 的电子邮件经过验证
Alessandro IngrossoSenior Postdoctoral Scientist, The Abdus Salam International Centre for Theoretical Physics在 ictp.it 的电子邮件经过验证
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear Accelerator在 columbia.edu 的电子邮件经过验证
Ramin KhajehPhD Candidate, Columbia University在 columbia.edu 的电子邮件经过验证
Tilo SchwalgerTU Berlin在 bccn-berlin.de 的电子邮件经过验证

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Sven Goedeke

University of Bonn, Germany

在 uni-bonn.de 的电子邮件经过验证 - 首页

computational neuroscience neural networks statistical physics dynamical systems machine learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Optimal sequence memory in driven random networks J Schuecker, S Goedeke, M Helias Physical Review X 8 (4), 041029, 2018	104	2018
Growing critical: self-organized criticality in a developing neural system FY Kalle Kossio, S Goedeke, B van den Akker, B Ibarz, ... Physical review letters 121 (5), 058301, 2018	65	2018
The mechanism of synchronization in feed-forward neuronal networks S Goedeke, M Diesmann New Journal of Physics 10 (1), 015007, 2008	64	2008
Dynamical learning of dynamics C Klos, YF Kalle Kossio, S Goedeke, A Gilra, RM Memmesheimer Physical Review Letters 125 (8), 088103, 2020	49	2020
From single neurons to behavior in the jellyfish Aurelia aurita F Pallasdies, S Goedeke, W Braun, RM Memmesheimer Elife 8, e50084, 2019	40	2019
Drifting assemblies for persistent memory: Neuron transitions and unsupervised compensation YF Kalle Kossio, S Goedeke, C Klos, RM Memmesheimer Proceedings of the National Academy of Sciences 118 (46), e2023832118, 2021	37*	2021
Functional methods for disordered neural networks J Schuecker, S Goedeke, D Dahmen, M Helias arXiv preprint arXiv:1605.06758, 2016	27	2016
Input correlations impede suppression of chaos and learning in balanced firing-rate networks R Engelken, A Ingrosso, R Khajeh, S Goedeke, LF Abbott PLOS Computational Biology 18 (12), e1010590, 2022	8	2022
Dynamics and computation in mixed networks containing neurons that accelerate towards spiking P Manz, S Goedeke, RM Memmesheimer Physical Review E 100 (4), 042404, 2019	5*	2019
Noise dynamically suppresses chaos in random neural networks S Goedeke, J Schuecker, M Helias arXiv preprint arXiv:1603.01880, 2016	5	2016
Theory of neuronal spike densities for synchronous activity in cortical feed-forward networks S Goedeke, T Schwalger, M Diesmann BMC Neuroscience 9 (Suppl 1), P143, 2008	1	2008
A generalized neural tangent kernel for surrogate gradient learning L Eilers, RM Memmesheimer, S Goedeke arXiv preprint arXiv:2405.15539, 2024		2024
A time-resolved theory of information encoding in recurrent neural networks R Engelken, S Goedeke Advances in Neural Information Processing Systems 35, 35490-35503, 2022		2022
Cortical correlations support optimal sequence memory M Helias, D Dahmen, J Schuecker, S Goedeke CNS* 2017 Conference, 2017		2017
Towards a field theory for neuronal networks M Helias, D Dahmen, J Schuecker, S Goedeke CNS* 2017 Conference, 2017		2017
Bifurcation analysis of synchronization dynamics in cortical feed-forward networks in novel coordinates T Schwalger, S Goedeke, M Diesmann BMC Neuroscience 10 (Suppl 1), P256, 2009		2009
From single neurons to behavior in the F Pallasdies, S Goedeke, W Braun, RM Memmesheimer

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