15 citations · 19 across the 4 of their papers we have counts for
3 papers · 1 filter
Modelling the development of counting with memory-augmented neural networks
Zack Dulberg, Taylor Webb, Jonathan Cohen
Learning to count is an important example of the broader human capacity for systematic generalization, and the development of counting is often characterized by an inflection point…
A Memory-Augmented Neural Network Model of Abstract Rule Learning
Ishan Sinha, Taylor W. Webb, Jonathan D. Cohen
Human intelligence is characterized by a remarkable ability to infer abstract rules from experience and apply these rules to novel domains. As such, designing neural network algori…
Emergent Symbols through Binding in External Memory
Taylor W. Webb, Ishan Sinha, Jonathan D. Cohen
A key aspect of human intelligence is the ability to infer abstract rules directly from high-dimensional sensory data, and to do so given only a limited amount of training experien…