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2010 – 2019
- 2017
[c9]Karim El-Laithy, Martin Bogdan:
Enhancements on the Modified Stochastic Synaptic Model: The Functional Heterogeneity. ICANN (1) 2017: 389-396- 2012
- [b1]Karim El-Laithy:
Towards a Brain-inspired Information Processing System: Modelling and Analysis of Synaptic Dynamics: Towards a Brain-inspired InformationProcessing System: Modelling and Analysis ofSynaptic Dynamics. Leipzig University, Germany, 2012 - [c8]Jörn Hoffmann, Frank Güttler, Karim El-Laithy, Martin Bogdan:
Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL. ICANN (1) 2012: 169-176 - [c7]Karim El-Laithy, Martin Bogdan:
Temporal Finite-State Machines: A Novel Framework for the General Class of Dynamic Networks. ICONIP (2) 2012: 425-434 - 2011
- [j1]Karim El-Laithy, Martin Bogdan:
A Reinforcement Learning Framework for Spiking Networks with Dynamic Synapses. Comput. Intell. Neurosci. 2011: 869348:1-869348:12 (2011) - [c6]Karim El-Laithy, Martin Bogdan:
A Hypothetical Free Synaptic Energy Function and Related States of Synchrony. ICANN (2) 2011: 40-47 - [c5]Karim El-Laithy, Martin Bogdan:
On the Capacity of Transient Internal States in Liquid-State Machines. ICANN (2) 2011: 56-63 - 2010
- [c4]Karim El-Laithy, Martin Bogdan:
Predicting spike-timing of a thalamic neuron using a stochastic synaptic model. ESANN 2010 - [c3]Karim El-Laithy, Martin Bogdan:
A Hebbian-Based Reinforcement Learning Framework for Spike-Timing-Dependent Synapses. ICANN (2) 2010: 160-169 - [c2]Jörn Hoffmann, Karim El-Laithy, Frank Güttler, Martin Bogdan:
Simulating Biological-Inspired Spiking Neural Networks with OpenCL. ICANN (1) 2010: 184-187
2000 – 2009
- 2009
- [c1]Karim El-Laithy, Martin Bogdan:
Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses. ICANN (1) 2009: 181-190
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