Karim El-Laithy

Affiliations: 
Faculty of Informatics and Mathematics, Leipzig, Germany 
Area:
Biologically inspired ANN, neural sciences
Website:
http://www.informatik.uni-leipzig.de/ti/index.php?id=ellaithy
Google:
"Karim El-Laithy"
Mean distance: 53433
 
Cross-listing: MathTree

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Publications

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Latorre JI, El-Laithy K, Bogdan M, et al. (2014) Development of a petri net model for a reconfigurable intelligent system based on experimental data 26th European Modeling and Simulation Symposium, Emss 2014. 608-612
El-Laithy K, Knorr M, Käs J, et al. (2012) Digital detection and analysis of branching and cell contacts in neural cell cultures. Journal of Neuroscience Methods. 210: 206-19
El-Laithy K, Bogdan M. (2012) Temporal finite-state machines: A novel framework for the general class of dynamic networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7664: 425-434
Hoffmann J, Güttler F, El-Laithy K, et al. (2012) Cyfield-RISP: Generating dynamic instruction set processors for reconfigurable hardware using OpenCL Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7552: 169-176
El-Laithy K, Bogdan M. (2011) A reinforcement learning framework for spiking networks with dynamic synapses. Computational Intelligence and Neuroscience. 2011: 869348
El-Laithy K, Bogdan M. (2011) On the capacity of transient internal states in liquid-state machines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6792: 56-63
El-Laithy K, Bogdan M. (2011) A hypothetical free synaptic energy function and related states of synchrony Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6792: 40-47
El-Laithy K, Bogdan M. (2010) A hebbian-based reinforcement learning framework for spike-timing-dependent synapses Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6353: 160-169
Hoffmann J, El-Laithy K, Güttler F, et al. (2010) Simulating biological-inspired spiking neural networks with OpenCL Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6352: 184-187
El-Laithy K, Bogdan M. (2010) Predicting spike-timing of a thalamic neuron using a stochastic synaptic model Proceedings of the 18th European Symposium On Artificial Neural Networks - Computational Intelligence and Machine Learning, Esann 2010. 357-362
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