|
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
|