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Biological Cybernetics
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January 16, 2008
Mathematical properties of neuronal TD-rules and differential Hebbian learning: a comparison
Christoph Kolodziejski, Bernd Porr, Florentin Wörgötter
Chaos (Woodbury, N.Y.)
|
October 3, 2014
Controlling chaos faster
Christian Bick, Christoph Kolodziejski, Marc Timme
Frontiers in Computational Neuroscience
|
December 15, 2010
Closed-Form Treatment of the Interactions between Neuronal Activity and Timing-Dependent Plasticity in Networks of Linear Neurons
Christoph Kolodziejski, Christian Tetzlaff, Florentin Wörgötter
Neural Computation
|
November 21, 2008
On the asymptotic equivalence between differential Hebbian and temporal difference learning
Christoph Kolodziejski, Bernd Porr, Florentin Wörgötter
Frontiers in Computational Neuroscience
|
December 29, 2011
Synaptic scaling in combination with many generic plasticity mechanisms stabilizes circuit connectivity
Christian Tetzlaff, Christoph Kolodziejski, Marc Timme, et al.
Biological Cybernetics
|
November 20, 2012
Time scales of memory, learning, and plasticity
Christian Tetzlaff, Christoph Kolodziejski, Irene Markelic, et al.
Frontiers in Computational Neuroscience
|
June 22, 2012
Analysis of synaptic scaling in combination with hebbian plasticity in several simple networks
Christian Tetzlaff, Christoph Kolodziejski, Marc Timme, et al.
Biological Cybernetics
|
June 18, 2010
Behavioral analysis of differential Hebbian learning in closed-loop systems
Tomas Kulvicius, Christoph Kolodziejski, Minija Tamosiunaite, et al.
Frontiers in Computational Neuroscience
|
January 7, 2014
An information theoretic model of information processing in the Drosophila olfactory system: the role of inhibitory neurons for system efficiency
Faramarz Faghihi, Christoph Kolodziejski, André Fiala, et al.
Plos Computational Biology
|
November 9, 2013
Synaptic scaling enables dynamically distinct short- and long-term memory formation
Christian Tetzlaff, Christoph Kolodziejski, Marc Timme, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Biological Cybernetics
|
January 16, 2008
Mathematical properties of neuronal TD-rules and differential Hebbian learning: a comparison
Christoph Kolodziejski, Bernd Porr, Florentin Wörgötter
Chaos (Woodbury, N.Y.)
|
October 3, 2014
Controlling chaos faster
Christian Bick, Christoph Kolodziejski, Marc Timme
Frontiers in Computational Neuroscience
|
December 15, 2010
Closed-Form Treatment of the Interactions between Neuronal Activity and Timing-Dependent Plasticity in Networks of Linear Neurons
Christoph Kolodziejski, Christian Tetzlaff, Florentin Wörgötter
Neural Computation
|
November 21, 2008
On the asymptotic equivalence between differential Hebbian and temporal difference learning
Christoph Kolodziejski, Bernd Porr, Florentin Wörgötter
Frontiers in Computational Neuroscience
|
December 29, 2011
Synaptic scaling in combination with many generic plasticity mechanisms stabilizes circuit connectivity
Christian Tetzlaff, Christoph Kolodziejski, Marc Timme, et al.
Biological Cybernetics
|
November 20, 2012
Time scales of memory, learning, and plasticity
Christian Tetzlaff, Christoph Kolodziejski, Irene Markelic, et al.
Frontiers in Computational Neuroscience
|
June 22, 2012
Analysis of synaptic scaling in combination with hebbian plasticity in several simple networks
Christian Tetzlaff, Christoph Kolodziejski, Marc Timme, et al.
Biological Cybernetics
|
June 18, 2010
Behavioral analysis of differential Hebbian learning in closed-loop systems
Tomas Kulvicius, Christoph Kolodziejski, Minija Tamosiunaite, et al.
Frontiers in Computational Neuroscience
|
January 7, 2014
An information theoretic model of information processing in the Drosophila olfactory system: the role of inhibitory neurons for system efficiency
Faramarz Faghihi, Christoph Kolodziejski, André Fiala, et al.
Plos Computational Biology
|
November 9, 2013
Synaptic scaling enables dynamically distinct short- and long-term memory formation
Christian Tetzlaff, Christoph Kolodziejski, Marc Timme, et al.
Page
of 2