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Hazem Toutounji
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Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI
G Koppe, H Toutounji, P Kirsch, S Lis, D Durstewitz
PLoS computational biology 15 (8), e1007263, 2019
622019
Spatiotemporal computations of an excitable and plastic brain: neuronal plasticity leads to noise-robust and noise-constructive computations
H Toutounji, G Pipa
PLoS Computational Biology 10 (3), e1003512, 2014
382014
Computational models as statistical tools
D Durstewitz, G Koppe, H Toutounji
Current Opinion in Behavioral Sciences 11, 93-99, 2016
212016
An introduction to delay-coupled reservoir computing
J Schumacher, H Toutounji, G Pipa
Artificial Neural Networks: Methods and Applications in Bio …, 2015
202015
An analytical approach to single node delay-coupled reservoir computing
J Schumacher, H Toutounji, G Pipa
Artificial Neural Networks and Machine Learning–ICANN 2013: 23rd …, 2013
182013
Coordinated prefrontal state transition leads extinction of reward-seeking behaviors
E Russo, T Ma, R Spanagel, D Durstewitz, H Toutounji, G Köhr
Journal of Neuroscience 41 (11), 2406-2419, 2021
142021
Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings
H Toutounji, D Durstewitz
Frontiers in Neuroinformatics 12 (67), 2018
122018
Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons
H Toutounji, F Pasemann
Frontiers in neurorobotics 8, 19, 2014
122014
Optimized temporal multiplexing for reservoir computing with a single delay-coupled node
H Toutounji, J Schumacher, G Pipa
The 2012 International Symposium on Nonlinear Theory and its Applications …, 2012
102012
Homeostatic plasticity for single node delay-coupled reservoir computing
H Toutounji, J Schumacher, G Pipa
Neural Computation 27 (6), 1159-1185, 2015
82015
Persistent memory in single node delay-coupled reservoir computing
AD Kovac, M Koall, G Pipa, H Toutounji
Plos one 11 (10), e0165170, 2016
52016
Autonomous learning needs a second environmental feedback loop
H Toutounji, F Pasemann
Computational Intelligence: Revised and Selected Papers of the International …, 2016
52016
Controlling the learning of behaviors in the sensorimotor loop with neuromodulators in self-monitoring neural networks
CW Rempis, H Toutounji, F Pasemann
Proceedings of the IEEE International Conference on Robotics and Automation …, 2013
52013
Evaluating Neuromodulator-controlled Stochastic Plasticity for Learning Recurrent Neural Control Networks.
CW Rempis, H Toutounji, F Pasemann
IJCCI, 489-496, 2013
32013
Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience
R van Bork, CD van Borkulo, LJ Waldorp, AOJ Cramer, D Borsboom, ...
22018
Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems
H Toutounji, CA Rothkopf, J Triesch
2011 IEEE International Conference on Development and Learning (ICDL) 2, 1-7, 2011
22011
Models of Neural Homeostasis
H Toutounji
Computational Models of Brain and Behavior, 257-269, 2017
12017
26th annual computational neuroscience meeting (CNS* 2017): part 1
S Denham, P Poirazi, E De Schutter, K Friston, HK Chan, T Nowotny, ...
BMC Neuroscience 18, 1-14, 2017
12017
Learning hierarchical controllers through reinforcement learning
H Toutounji, C Rothkopf, J Triesch
Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on …, 2010
12010
On randomness and the genetic behavior of cellular automata
H Toutounji, AC Aljundi
2008 3rd International Conference on Information and Communication …, 2008
12008
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