Hazem Toutounji - Publications

Affiliations: 
Theoretical Neuroscience Central Institute of mental Health, Mannheim, Baden-Württemberg, Germany 
Area:
Recurrent Neural Networks, Plasticity, Reinforcement Learning, Mathematical Neuroscience

7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Koppe G, Toutounji H, Kirsch P, Lis S, Durstewitz D. Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI. Plos Computational Biology. 15: e1007263. PMID 31433810 DOI: 10.1371/journal.pcbi.1007263  1
2018 Toutounji H, Durstewitz D. Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings. Frontiers in Neuroinformatics. 12: 67. PMID 30349472 DOI: 10.3389/fninf.2018.00067  1
2016 Kovac AD, Koall M, Pipa G, Toutounji H. Persistent Memory in Single Node Delay-Coupled Reservoir Computing. Plos One. 11: e0165170. PMID 27783690 DOI: 10.1371/journal.pone.0165170  1
2015 Toutounji H, Schumacher J, Pipa G. Homeostatic plasticity for single node delay-coupled reservoir computing. Neural Computation. 27: 1159-85. PMID 25826022 DOI: 10.1162/NECO_a_00737  1
2014 Toutounji H, Pipa G. Spatiotemporal computations of an excitable and plastic brain: neuronal plasticity leads to noise-robust and noise-constructive computations. Plos Computational Biology. 10: e1003512. PMID 24651447 DOI: 10.1371/journal.pcbi.1003512  1
2013 Schumacher J, Toutounji H, Pipa G. An analytical approach to single node delay-coupled reservoir computing Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8131: 26-33. DOI: 10.1007/978-3-642-40728-4_4  1
2011 Toutounji H, Rothkopf CA, Triesch J. Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems 2011 Ieee International Conference On Development and Learning, Icdl 2011. DOI: 10.1109/DEVLRN.2011.6037351  1
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