Models that contain the Model Concept : Reinforcement Learning

(A neural network learning method where the network has amoung its inputs a (positive or negative) reward dependent on it's behavior as it explores a solution space.)
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    Models
1. A large-scale model of the functioning brain (spaun) (Eliasmith et al. 2012)
2. A reinforcement learning example (Sutton and Barto 1998)
3. A spiking neural network model of model-free reinforcement learning (Nakano et al 2015)
4. Alternative time representation in dopamine models (Rivest et al. 2009)
5. Calcium response prediction in the striatal spines depending on input timing (Nakano et al. 2013)
6. Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7)
7. Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
8. Cortico-striatal plasticity in medium spiny neurons (Gurney et al 2015)
9. Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
10. Fixed point attractor (Hasselmo et al 1995)
11. Hippocampal context-dependent retrieval (Hasselmo and Eichenbaum 2005)
12. Model of DARPP-32 phosphorylation in striatal medium spiny neurons (Lindskog et al. 2006)
13. Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
14. Odor supported place cell model and goal navigation in rodents (Kulvicius et al. 2008)
15. Prefrontal cortical mechanisms for goal-directed behavior (Hasselmo 2005)
16. Reinforcement learning of targeted movement (Chadderdon et al. 2012)
17. Reinforcement Learning with Forgetting: Linking Sustained Dopamine to Motivation (Kato Morita 2016)
18. Reward modulated STDP (Legenstein et al. 2008)
19. Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
20. Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
21. Sequential neuromodulation of Hebbian plasticity in reward-based navigation (Brzosko et al 2017)
22. Speed/accuracy trade-off between the habitual and the goal-directed processes (Kermati et al. 2011)
23. Striatal dopamine ramping: an explanation by reinforcement learning with decay (Morita & Kato, 2014)
24. Theta phase precession in a model CA3 place cell (Baker and Olds 2007)

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