Learning rule influences recurrent network representations but not attractor structure in decision-making tasks.
Brandon McMahanMichael KleinmanJonathan C. KaoPublished in: NeurIPS (2021)
Keyphrases
- learning rules
- decision making
- recurrent networks
- biologically inspired
- neural network
- dynamic behavior
- decision makers
- recurrent neural networks
- artificial neural networks
- decision support system
- cellular automata
- fixed point
- feed forward
- symbolic representation
- image processing
- image sequences
- multiscale
- decision process