Hazem Toutounji

Theoretical Neuroscience Central Institute of mental Health, Mannheim, Baden-Württemberg, Germany 
Recurrent Neural Networks, Plasticity, Reinforcement Learning, Mathematical Neuroscience
"Hazem Toutounji"
Mean distance: 15.07 (cluster 29)
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Russo E, Ma T, Spanagel R, et al. (2021) Coordinated prefrontal state transition leads extinction of reward-seeking behaviors. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Koppe G, Toutounji H, Kirsch P, et al. (2019) Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI. Plos Computational Biology. 15: e1007263
Toutounji H, Durstewitz D. (2018) Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings. Frontiers in Neuroinformatics. 12: 67
Denham S, Poirazi P, De Schutter E, et al. (2017) 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1 Bmc Neuroscience. 18
Kovac AD, Koall M, Pipa G, et al. (2016) Persistent Memory in Single Node Delay-Coupled Reservoir Computing. Plos One. 11: e0165170
Durstewitz D, Koppe G, Toutounji H. (2016) Computational models as statistical tools Current Opinion in Behavioral Sciences. 11: 93-99
Toutounji H, Schumacher J, Pipa G. (2015) Homeostatic plasticity for single node delay-coupled reservoir computing. Neural Computation. 27: 1159-85
Toutounji H, Pasemann F. (2014) Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons. Frontiers in Neurorobotics. 8: 19
Toutounji H, Pipa G. (2014) Spatiotemporal computations of an excitable and plastic brain: neuronal plasticity leads to noise-robust and noise-constructive computations. Plos Computational Biology. 10: e1003512
Schumacher J, Toutounji H, Pipa G. (2013) 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
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