Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia (2005)

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by Randall C. O’Reilly , Michael J. Frank
Citations:63 - 4 self

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10 P VLV: the primary value and learned value Pavlovian learning algorithm – Randall C. O’reilly, Thomas E. Hazy, On Watz, Michael J. Frank - 2007
1 Expectancy, Ambiguity, and Behavioral Flexibility: Separable and Complementary Roles of the Orbital Frontal Cortex and Amygdala in Processing Reward – Wolfgang M. Pauli, Thomas E. Hazy, All C. Oʼreilly
58 Interactions Between Frontal Cortex and Basal Ganglia in Working Memory: A Computational Model – Michael J. Frank, Bryan Loughry, Randall C. O'Reilly - 2000
31 Temporal Difference Model Reproduces Anticipatory Neural Activity – Roland E. Suri, Wolfram Schultz - 2000
17 Temporal sequence learning, prediction and control - a review of different models and their relation to biological mechanisms – Florentin Wörgötter, Bernd Porr - 2004
5 Actor-critic models of reinforcement learning in the basal ganglia: From natural to artificial rats – Mehdi Khamassi, Loïc Lachèze, Benoît Girard, Alain Berthoz, Agnès Guillot - 2005
22 From recurrent choice to skill learning: A reinforcement-learning model – Wai-tat Fu, John R. Anderson - 2006
8 Reinforcement learning in the brain – Yael Niv
THE COGNITIVE NEUROSCIENCE OF MOTIVATION AND LEARNING – Nathaniel D. Daw, Daphna Shohamy, Mate Lengyel, Catherine Myers, Yael Niv, Shannon Tubridy, Anthony Wagner For Many
What are the Computations of the Cerebellum, the Basal Gangila, and the Cerebral Cortex? – Kenji Doya - 1999
Learning Working Memory Tasks by Reward Prediction – Bryan Loughry, Written Bryan James Loughry, Michael C. Mozer, Randall C. O’reilly, Clayton H. Lewis - 2003
11 On-Line Learning Algorithms for Locally Recurrent Neural Networks – Paolo Campolucci, Aurelio Uncini, Francesco Piazza, Bhaskar D. Rao - 1999
6 Conditional Routing of Information to the Cortex: A Model of the Basal Ganglia’s Role in Cognitive Coordination – Andrea Stocco, Christian Lebiere, John R. Anderson
Reviewed by: – Yuji Takahashi, Geoffrey Schoenbaum, Yael Niv, Sidney A. Simon, Rui M. Costa
Running Title: Cortical Working Memory and Sequence Learning – Stephen Grossberg, Lance R. Pearson
Novelty and Inductive Generalization in Human Reinforcement Learning – Yael Niv
1 In search of the neural circuits of intrinsic motivation – Frederic Kaplan, Pierre-yves Oudeyer
4 W.: Reinforcement learning in continuous state and action space – Thomas Strösslin, Wulfram Gerstner - 2003
80 Intrinsically motivated learning of hierarchical collections of skills – Andrew G. Barto - 2004