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Biological vs. Artificial Neural Networks
- Biological neural networks excel at credit assignment over long timespans, unlike artificial ones.
- Studying this difference may hold the key to improving artificial neural networks.
Credit Assignment and Learning
- Credit assignment involves accessing memories to infer causes and assign credit to past decisions.
- This process allows us to learn from past experiences and adjust our future behavior.
Weaknesses of Current Deep Learning
- Current deep neural networks lack the robust, abstract, and general understanding of the world that humans possess.
- Training neural networks to focus on causal explanations and jointly learn from multiple modalities like images and text could help address this.