Dr. Christian Tetzlaff
Dr. Christian Tetzlaff
Bernstein Fellow; University of Goettingen
Bestätigte E-Mail-Adresse bei phys.uni-goettingen.de - Startseite
Zitiert von
Zitiert von
Self-organized criticality in developing neuronal networks
C Tetzlaff, S Okujeni, U Egert, F Wörgötter, M Butz
PLoS Comput. Biol 6 (12), e1001013, 2010
Time scales of memory, learning, and plasticity
C Tetzlaff, C Kolodziejski, I Markelic, F Wörgötter
Biological cybernetics 106 (11-12), 715-726, 2012
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
Opposing Effects of Neuronal Activity on Structural Plasticity
M Fauth, C Tetzlaff
Frontiers in Neuroanatomy 10, 75, 2016
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
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
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
The Use of Hebbian Cell Assemblies for Nonlinear Computation
C Tetzlaff, S Dasgupta, T Kulvicius, F Wörgötter
Scientific Reports 5, 2015
Fast Dynamical Coupling Enhances Frequency Adaptation of Oscillators for Robotic Locomotion Control
T Nachstedt, C Tetzlaff, P Manoonpong
Frontiers in Neurorobotics 11, 14, 2017
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
Working Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs
T Nachstedt, C Tetzlaff
Scientific Reports 7, 2017
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
Induction and Consolidation of Calcium-Based Homo-and Heterosynaptic Potentiation and Depression
Y Li, T Kulvicius, C Tetzlaff
PloS one 11 (8), e0161679, 2016
An information theoretic model of information processing in the Drosophila olfactory system: the role of inhibitory neurons for system efficiency
F Faghihi, C Kolodziejski, A Fiala, F Wörgötter, C Tetzlaff
Frontiers in computational neuroscience 7, 2013
Evolving artificial neural networks with feedback
S Herzog, C Tetzlaff, F Wörgötter
Neural Networks 123, 153-162, 2020
Modeling the shape of synaptic spines by their actin dynamics
M Bonilla-Quintana, F Wörgötter, C Tetzlaff, M Fauth
bioRxiv, 2019
A theoretical framework to derive simple, firing-rate-dependent mathematical models of synaptic plasticity
J Lappalainen, J Herpich, C Tetzlaff
Frontiers in Computational Neuroscience 13, 26, 2019
Robust robotic control on the neuromorphic research chip Loihi
C Michaelis, AB Lehr, C Tetzlaff
arXiv preprint arXiv:2008.11642, 2020
The interplay of synaptic plasticity and scaling enables self-organized formation and allocation of multiple memory representations
JM Auth, T Nachstedt, C Tetzlaff
Frontiers in neural circuits 14, 2020
Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology
P Manoonpong, C Tetzlaff
Frontiers in Neurorobotics 12, 53, 2018
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