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Fast Analog Computing with Emergent Transient States - Initial Training Network (FACETS-ITN)
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Fast Analog Computing with Emergent Transient States - Initial Training Network (FACETS-ITN)
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1
Conference Presentation
Structure and invariance of correlations in balanced networks.
Helias, Moritz
2013
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2
Journal Article
Echoes in correlated neural systems
Helias, M
2013
New journal of physics, 15 2, S. 023002
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3
Journal Article
High-capacity embedding of synfire chains in a cortical network model
Trengove, Chris
2012
Journal of computational neuroscience, - (2012) S. 1-25
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Journal Article
Is a 4-Bit Synaptic Weight Resolution Enough? – Constraints on Enabling Spike-Timing Dependent Plasticity in Neuromorphic Hardware
Pfeil, Thomas
2012
Frontiers in neuroscience, 6 (2012) 90, S. 1-19
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Journal Article
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Diesmann, Markus
3
Helias, Moritz
2
Leeuwen, Cees
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Meier, Karlheinz
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Pfeil, Thomas
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Potjans, Tobias Christian
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Potjans, Wiebke
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Schemmel, Johannes
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Schrader, Sven
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Research Program
Fast Analog Computing with Emergent Transient States - Initial Training Network (FACETS-ITN)
Helmholtz Alliance on Systems Biology
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Signalling Pathways and Mechanisms in the Nervous System
4
Brain-inspired multiscale computation in neuromorphic hybrid systems
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The Next-Generation Integrated Simulation of Living Matter
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Supercomputing and Modelling for the Human Brain
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Compositionality: Neuronal Basis of Complex Behavior
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Theory, modelling and simulation
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Computational and Systems Neuroscience; INM-6
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Computational and Systems Neuroscience; IAS-6
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2012
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