Hasil Pencarian - Christian Tetzlaff

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  1. 1
    Closed-form treatment of the interactions between neuronal activity and timing-dependent plasticity in networks of linear neurons

    Closed-form treatment of the interactions between neuronal activity and timing-dependent plasticity in networks of linear neurons oleh Christoph Kolodziejski, Christoph Kolodziejski, Christoph Kolodziejski, Christian Tetzlaff, Christian Tetzlaff, Christian Tetzlaff, Florentin Wörgötter, Florentin Wörgötter

    Diterbitkan 2010-10-01
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  2. 2
    A Theoretical Framework to Derive Simple, Firing-Rate-Dependent Mathematical Models of Synaptic Plasticity

    A Theoretical Framework to Derive Simple, Firing-Rate-Dependent Mathematical Models of Synaptic Plasticity oleh Janne Lappalainen, Juliane Herpich, Juliane Herpich, Christian Tetzlaff, Christian Tetzlaff

    Diterbitkan 2019-05-01
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  3. 3
    Hey, look over there: Distraction effects on rapid sequence recall.

    Hey, look over there: Distraction effects on rapid sequence recall. oleh Daniel Miner, Christian Tetzlaff

    Diterbitkan 2020-01-01
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  4. 4
    Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs

    Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs oleh Timo Nachstedt, Christian Tetzlaff

    Diterbitkan 2017-05-01
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  5. 5
    Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks

    Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks oleh Jannik Luboeinski, Christian Tetzlaff

    Diterbitkan 2021-03-01
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  6. 6
    Principles underlying the input-dependent formation and organization of memories

    Principles underlying the input-dependent formation and organization of memories oleh Juliane Herpich, Christian Tetzlaff

    Diterbitkan 2019-05-01
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  7. 7
    Modeling the Shape of Synaptic Spines by Their Actin Dynamics

    Modeling the Shape of Synaptic Spines by Their Actin Dynamics oleh Mayte Bonilla-Quintana, Florentin Wörgötter, Florentin Wörgötter, Christian Tetzlaff, Christian Tetzlaff, Michael Fauth

    Diterbitkan 2020-03-01
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  8. 8
    The Interplay of Synaptic Plasticity and Scaling Enables Self-Organized Formation and Allocation of Multiple Memory Representations

    The Interplay of Synaptic Plasticity and Scaling Enables Self-Organized Formation and Allocation of Multiple Memory Representations oleh Johannes Maria Auth, Johannes Maria Auth, Timo Nachstedt, Timo Nachstedt, Christian Tetzlaff, Christian Tetzlaff

    Diterbitkan 2020-10-01
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  9. 9
    Unsupervised learning of perceptual feature combinations.

    Unsupervised learning of perceptual feature combinations. oleh Minija Tamosiunaite, Christian Tetzlaff, Florentin Wörgötter

    Diterbitkan 2024-03-01
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  10. 10
    Formation and Maintenance of Robust Long-Term Information Storage in the Presence of Synaptic Turnover.

    Formation and Maintenance of Robust Long-Term Information Storage in the Presence of Synaptic Turnover. oleh Michael Fauth, Florentin Wörgötter, Christian Tetzlaff

    Diterbitkan 2015-12-01
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  11. 11
    Editorial: Robust Artificial Intelligence for Neurorobotics

    Editorial: Robust Artificial Intelligence for Neurorobotics oleh Joe Hays, Subramanian Ramamoorthy, Christian Tetzlaff

    Diterbitkan 2021-12-01
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  12. 12
    Induction and Consolidation of Calcium-Based Homo- and Heterosynaptic Potentiation and Depression.

    Induction and Consolidation of Calcium-Based Homo- and Heterosynaptic Potentiation and Depression. oleh Yinyun Li, Tomas Kulvicius, Christian Tetzlaff

    Diterbitkan 2016-01-01
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  13. 13
    The biophysical basis underlying the maintenance of early phase long-term potentiation.

    The biophysical basis underlying the maintenance of early phase long-term potentiation. oleh Moritz F P Becker, Christian Tetzlaff

    Diterbitkan 2021-03-01
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  14. 14
    The formation of multi-synaptic connections by the interaction of synaptic and structural plasticity and their functional consequences.

    The formation of multi-synaptic connections by the interaction of synaptic and structural plasticity and their functional consequences. oleh Michael Fauth, Florentin Wörgötter, Christian Tetzlaff

    Diterbitkan 2015-01-01
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  15. 15
    Robust Trajectory Generation for Robotic Control on the Neuromorphic Research Chip Loihi

    Robust Trajectory Generation for Robotic Control on the Neuromorphic Research Chip Loihi oleh Carlo Michaelis, Andrew B. Lehr, Christian Tetzlaff

    Diterbitkan 2020-11-01
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  16. 16
    Neuromodulator-dependent synaptic tagging and capture retroactively controls neural coding in spiking neural networks

    Neuromodulator-dependent synaptic tagging and capture retroactively controls neural coding in spiking neural networks oleh Andrew B. Lehr, Jannik Luboeinski, Christian Tetzlaff

    Diterbitkan 2022-10-01
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  17. 17
    Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian

    Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian oleh Carlo Michaelis, Carlo Michaelis, Andrew B. Lehr, Andrew B. Lehr, Winfried Oed, Winfried Oed, Christian Tetzlaff, Christian Tetzlaff

    Diterbitkan 2022-11-01
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  18. 18
    Implementation of input correlation learning with an optoelectronic dendritic unit

    Implementation of input correlation learning with an optoelectronic dendritic unit oleh Silvia Ortín, Miguel C. Soriano, Christian Tetzlaff, Christian Tetzlaff, Florentin Wörgötter, Ingo Fischer, Claudio R. Mirasso, Apostolos Argyris

    Diterbitkan 2023-03-01
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  19. 19
    Editorial: Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology

    Editorial: Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology oleh Poramate Manoonpong, Poramate Manoonpong, Poramate Manoonpong, Christian Tetzlaff

    Diterbitkan 2018-08-01
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  20. 20
    Self-Organized Structuring of Recurrent Neuronal Networks for Reliable Information Transmission

    Self-Organized Structuring of Recurrent Neuronal Networks for Reliable Information Transmission oleh Daniel Miner, Florentin Wörgötter, Christian Tetzlaff, Michael Fauth

    Diterbitkan 2021-06-01
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