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001010658 041__ $$aEnglish
001010658 1001_ $$0P:(DE-Juel1)180150$$aFischer, Kirsten$$b0$$eCorresponding author
001010658 1112_ $$wUSA
001010658 245__ $$aStatistical Mechanics of Neural Networks$$f2023-06-21 - 
001010658 260__ $$c2023
001010658 3367_ $$033$$2EndNote$$aConference Paper
001010658 3367_ $$2DataCite$$aOther
001010658 3367_ $$2BibTeX$$aINPROCEEDINGS
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001010658 3367_ $$2DINI$$aOther
001010658 502__ $$cColumbia University in the City of New York
001010658 536__ $$0G:(DE-HGF)POF4-5232$$a5232 - Computational Principles (POF4-523)$$cPOF4-523$$fPOF IV$$x0
001010658 536__ $$0G:(DE-HGF)POF4-5234$$a5234 - Emerging NC Architectures (POF4-523)$$cPOF4-523$$fPOF IV$$x1
001010658 536__ $$0G:(DE-Juel-1)BMBF-01IS19077A$$aRenormalizedFlows - Transparent Deep Learning with Renormalized Flows (BMBF-01IS19077A)$$cBMBF-01IS19077A$$x2
001010658 536__ $$0G:(DE-Juel1)HGF-SMHB-2014-2018$$aMSNN - Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018)$$cHGF-SMHB-2014-2018$$fMSNN$$x3
001010658 536__ $$0G:(DE-HGF)SO-092$$aACA - Advanced Computing Architectures (SO-092)$$cSO-092$$x4
001010658 536__ $$0G:(DE-82)EXS-SF-neuroIC002$$aneuroIC002 - Recurrence and stochasticity for neuro-inspired computation (EXS-SF-neuroIC002)$$cEXS-SF-neuroIC002$$x5
001010658 7001_ $$0P:(DE-Juel1)185990$$aLindner, Javed$$b1$$eCorresponding author
001010658 7001_ $$0P:(DE-Juel1)156459$$aDahmen, David$$b2
001010658 7001_ $$0P:(DE-Juel1)144806$$aHelias, Moritz$$b3
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001010658 9141_ $$y2023
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001010658 9201_ $$0I:(DE-Juel1)INM-6-20090406$$kINM-6$$lComputational and Systems Neuroscience$$x0
001010658 9201_ $$0I:(DE-Juel1)IAS-6-20130828$$kIAS-6$$lTheoretical Neuroscience$$x1
001010658 9201_ $$0I:(DE-Juel1)INM-10-20170113$$kINM-10$$lJara-Institut Brain structure-function relationships$$x2
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