Hazem Toutounji
Hazem Toutounji
Bestätigte E-Mail-Adresse bei nottingham.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
Spatiotemporal computations of an excitable and plastic brain: neuronal plasticity leads to noise-robust and noise-constructive computations
H Toutounji, G Pipa
PLoS Comput Biol 10 (3), e1003512, 2014
292014
Computational models as statistical tools
D Durstewitz, G Koppe, H Toutounji
Current Opinion in Behavioral Sciences 11, 93-99, 2016
142016
An introduction to delay-coupled reservoir computing
J Schumacher, H Toutounji, G Pipa
Artificial Neural Networks, 63-90, 2015
142015
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
112014
An analytical approach to single node delay-coupled reservoir computing
J Schumacher, H Toutounji, G Pipa
International Conference on Artificial Neural Networks, 26-33, 2013
102013
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
92019
Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings
H Toutounji, D Durstewitz
Frontiers in Neuroinformatics 12 (67), 2018
52018
Autonomous learning needs a second environmental feedback loop
H Toutounji, F Pasemann
Computational Intelligence, 455-472, 2016
52016
Persistent memory in single node delay-coupled reservoir computing
AD Kovac, M Koall, G Pipa, H Toutounji
PloS one 11 (10), e0165170, 2016
42016
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
42013
Homeostatic plasticity for single node delay-coupled reservoir computing
H Toutounji, J Schumacher, G Pipa
Neural Computation 27 (6), 1159-1185, 2015
32015
Evaluating Neuromodulator-controlled Stochastic Plasticity for Learning Recurrent Neural Control Networks.
CW Rempis, H Toutounji, F Pasemann
IJCCI, 489-496, 2013
32013
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
32012
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
Coordinated prefrontal state transition leads extinction of reward-seeking behaviors
E Russo, T Ma, R Spanagel, D Durstewitz, H Toutounji, G Köhr
bioRxiv, 2020
12020
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), 1-14, 2017
12017
Neural Networks and Neurocomputational Modeling
H Toutounji, L Hertäg, D Durstewitz
Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience 5, 2018
2018
Detecting Multiple Step Changes Using Adaptive Regression Splines with Application to Neural Recordings
H Toutounji, D Durstewitz
arXiv preprint arXiv:1802.03627, 2018
2018
Homeostatic Plasticity in Input-Driven Dynamical Systems
H Toutounji
2015
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