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Dr. Christian Tetzlaff
Dr. Christian Tetzlaff
University Medical Center Göttingen
Verified email at med.uni-goettingen.de - Homepage
Title
Cited by
Cited by
Year
Self-organized criticality in developing neuronal networks
C Tetzlaff, S Okujeni, U Egert, F Wörgötter, M Butz
PLoS Comput. Biol 6 (12), e1001013, 2010
2332010
Opposing Effects of Neuronal Activity on Structural Plasticity
M Fauth, C Tetzlaff
Frontiers in Neuroanatomy 10, 75, 2016
1142016
Time scales of memory, learning, and plasticity
C Tetzlaff, C Kolodziejski, I Markelic, F Wörgötter
Biological cybernetics 106 (11), 715-726, 2012
1072012
Synaptic scaling in combination with many generic plasticity mechanisms stabilizes circuit connectivity
C Tetzlaff, C Kolodziejski, M Timme, F Wörgötter
Frontiers in computational neuroscience 5, 47, 2011
982011
Evolving artificial neural networks with feedback
S Herzog, C Tetzlaff, F Wörgötter
Neural Networks 123, 153-162, 2020
85*2020
The Formation of Multi-synaptic Connections by the Interaction of Synaptic and Structural Plasticity and Their Functional Consequences.
M Fauth, F Wörgötter, C Tetzlaff
PLoS computational biology 11 (1), e1004031, 2015
802015
Synaptic scaling enables dynamically distinct short- and long-term memory formation
C Tetzlaff, C Kolodziejski, M Timme, M Tsodyks, F Wörgötter
PLoS Computational Biology 9 (10), e1003307, 2013
592013
Emulating dendritic computing paradigms on analog neuromorphic hardware
J Kaiser, S Billaudelle, E Müller, C Tetzlaff, J Schemmel, S Schmitt
Neuroscience 489, 290-300, 2022
462022
CA2 beyond social memory: Evidence for a fundamental role in hippocampal information processing
AB Lehr, A Kumar, C Tetzlaff, T Hafting, M Fyhn, TM Stöber
Neuroscience & Biobehavioral Reviews 126, 398-412, 2021
452021
Fast Dynamical Coupling Enhances Frequency Adaptation of Oscillators for Robotic Locomotion Control
T Nachstedt, C Tetzlaff, P Manoonpong
Frontiers in Neurorobotics 11, 14, 2017
412017
The Use of Hebbian Cell Assemblies for Nonlinear Computation
C Tetzlaff, S Dasgupta, T Kulvicius, F Wörgötter
Scientific Reports 5, 2015
392015
Synaptic plasticity in a recurrent neural network for versatile and adaptive behaviors of a walking robot
E Grinke, C Tetzlaff, F Wörgötter, P Manoonpong
Frontiers in neurorobotics 9, 11, 2015
382015
Formation and maintenance of robust long-term information storage in the presence of synaptic turnover
M Fauth, F Wörgötter, C Tetzlaff
PLoS Comput Biol 11 (12), e1004684, 2015
372015
Analysis of synaptic scaling in combination with hebbian plasticity in several simple networks
C Tetzlaff, C Kolodziejski, M Timme, F Wörgötter
Frontiers in computational neuroscience 6, 2012
302012
Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks
J Luboeinski, C Tetzlaff
Communications Biology 4 (1), 1-17, 2021
282021
Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs
T Nachstedt, C Tetzlaff
Scientific Reports 7, 2017
272017
Modeling the shape of synaptic spines by their actin dynamics
M Bonilla-Quintana, F Wörgötter, C Tetzlaff, M Fauth
Frontiers in synaptic neuroscience 12, 9, 2020
232020
Robust trajectory generation for robotic control on the neuromorphic research chip Loihi
C Michaelis, AB Lehr, C Tetzlaff
Frontiers in Neurorobotics 14, 97, 2020
182020
Principles underlying the input-dependent formation and organization of memories
J Herpich, C Tetzlaff
Network Neuroscience 3 (2), 606-634, 2019
182019
Induction and Consolidation of Calcium-Based Homo-and Heterosynaptic Potentiation and Depression
Y Li, T Kulvicius, C Tetzlaff
PloS one 11 (8), e0161679, 2016
172016
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Articles 1–20