Christoph Kolodziejski

According to our database1, Christoph Kolodziejski authored at least 17 papers between 2008 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2015
Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation.
Inf. Sci., 2015

2013
Synaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation.
PLoS Comput. Biol., 2013

An information theoretic model of information processing in the Drosophila olfactory system: the role of inhibitory neurons for system efficiency.
Frontiers Comput. Neurosci., 2013

Combining Correlation-Based and Reward-Based Learning in Neural Control for Policy Improvement.
Adv. Complex Syst., 2013

2012
Adapting Predictive Feedback Chaos Control for Optimal Convergence Speed.
SIAM J. Appl. Dyn. Syst., 2012

Analysis of Synaptic Scaling in Combination with Hebbian Plasticity in Several Simple Networks.
Frontiers Comput. Neurosci., 2012

Time scales of memory, learning, and plasticity.
Biol. Cybern., 2012

Multiple chaotic central pattern generators for locomotion generation and leg damage compensation in a hexapod robot.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
How feedback inhibition shapes spike-timing-dependent plasticity and its implications for recent Schizophrenia models.
Neural Networks, 2011

Synaptic Scaling in Combination with Many Generic Plasticity Mechanisms Stabilizes Circuit Connectivity.
Frontiers Comput. Neurosci., 2011

2010
Closed-Form Treatment of the Interactions between Neuronal Activity and Timing-Dependent Plasticity in Networks of Linear Neurons.
Frontiers Comput. Neurosci., 2010

Behavioral analysis of differential hebbian learning in closed-loop systems.
Biol. Cybern., 2010

Designing Simple Nonlinear Filters Using Hysteresis of Single Recurrent Neurons for Acoustic Signal Recognition in Robots.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
On the Asymptotic Equivalence Between Differential Hebbian and Temporal Difference Learning.
Neural Comput., 2009

2008
Mathematical properties of neuronal TD-rules and differential Hebbian learning: a comparison.
Biol. Cybern., 2008

Second Order Conditioning in the Sub-cortical Nuclei of the Limbic System.
Proceedings of the From Animals to Animats 10, 2008

On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008


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