These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
3. Doing without schema hierarchies: a recurrent connectionist approach to normal and impaired routine sequential action. Botvinick M; Plaut DC Psychol Rev; 2004 Apr; 111(2):395-429. PubMed ID: 15065915 [TBL] [Abstract][Full Text] [Related]
4. Perspectives of probabilistic inferences: Reinforcement learning and an adaptive network compared. Rieskamp J J Exp Psychol Learn Mem Cogn; 2006 Nov; 32(6):1355-70. PubMed ID: 17087589 [TBL] [Abstract][Full Text] [Related]
5. Reinforcement learning in continuous time and space: interference and not ill conditioning is the main problem when using distributed function approximators. Baddeley B IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):950-6. PubMed ID: 18632383 [TBL] [Abstract][Full Text] [Related]
7. Goal-directed learning of features and forward models. Saeb S; Weber C; Triesch J Neural Netw; 2009; 22(5-6):586-92. PubMed ID: 19616917 [TBL] [Abstract][Full Text] [Related]
8. Attention-gated reinforcement learning of internal representations for classification. Roelfsema PR; van Ooyen A Neural Comput; 2005 Oct; 17(10):2176-214. PubMed ID: 16105222 [TBL] [Abstract][Full Text] [Related]
9. A general connectionist model of attitude structure and change: the ACS (Attitudes as Constraint Satisfaction) model. Monroe BM; Read SJ Psychol Rev; 2008 Jul; 115(3):733-59. PubMed ID: 18729597 [TBL] [Abstract][Full Text] [Related]
10. The loading problem for recursive neural networks. Gori M; Sperduti A Neural Netw; 2005 Oct; 18(8):1064-79. PubMed ID: 16198537 [TBL] [Abstract][Full Text] [Related]
11. Analysis and simulation of creativity learning by means of artificial neural networks. Memmert D; Perl J Hum Mov Sci; 2009 Apr; 28(2):263-82. PubMed ID: 19110331 [TBL] [Abstract][Full Text] [Related]
12. Elman backpropagation as reinforcement for simple recurrent networks. GrĂ¼ning A Neural Comput; 2007 Nov; 19(11):3108-31. PubMed ID: 17883351 [TBL] [Abstract][Full Text] [Related]
13. Negativity bias in attitude learning: a possible indicator of vulnerability to emotional disorders? Shook NJ; Fazio RH; Vasey MW J Behav Ther Exp Psychiatry; 2007 Jun; 38(2):144-55. PubMed ID: 17101116 [TBL] [Abstract][Full Text] [Related]
14. Control of nonaffine nonlinear discrete-time systems using reinforcement-learning-based linearly parameterized neural networks. Yang Q; Vance JB; Jagannathan S IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):994-1001. PubMed ID: 18632390 [TBL] [Abstract][Full Text] [Related]
15. Discrimination networks for maximum selection. Jain BJ; Wysotzki F Neural Netw; 2004 Jan; 17(1):143-54. PubMed ID: 14690714 [TBL] [Abstract][Full Text] [Related]
16. Dynamical model of salience gated working memory, action selection and reinforcement based on basal ganglia and dopamine feedback. Ponzi A Neural Netw; 2008; 21(2-3):322-30. PubMed ID: 18280108 [TBL] [Abstract][Full Text] [Related]
17. Better or worse than expected? Aging, learning, and the ERN. Eppinger B; Kray J; Mock B; Mecklinger A Neuropsychologia; 2008 Jan; 46(2):521-39. PubMed ID: 17936313 [TBL] [Abstract][Full Text] [Related]
18. The connectionist simulation of aphasic naming. Wright JF; Ahmad K Brain Lang; 1997 Sep; 59(2):367-89. PubMed ID: 9299069 [TBL] [Abstract][Full Text] [Related]
19. Non-contingent positive and negative reinforcement schedules of superstitious behaviors. Bloom CM; Venard J; Harden M; Seetharaman S Behav Processes; 2007 May; 75(1):8-13. PubMed ID: 17353100 [TBL] [Abstract][Full Text] [Related]