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Found 5 papers, 2 papers with code
A Neural Network Model of Continual Learning with Cognitive Control
Here, we build on previous work and show that neural networks equipped with a mechanism for cognitive control do not exhibit catastrophic forgetting when trials are blocked.
Do grid codes afford generalization and flexible decision-making?
This view assumes that the grid codes serve as an efficient basis function for learning and representing experienced relationships between entities.
Complementary Structure-Learning Neural Networks for Relational Reasoning
The neural mechanisms supporting flexible relational inferences, especially in novel situations, are a major focus of current research.
A Bayesian Theory of Conformity in Collective Decision Making
We show that such a Bayesian framework allows one to achieve any level of theory of mind in collective decision making.
A Probabilistic Model of Social Decision Making based on Reward Maximization
Our results suggest a probabilistic basis for human social decision making within the framework of expected reward maximization.
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