How we learn: why brains learn better than any machine … for now

By John Essington. 2021

Subfields: Neuroscience, Cognitive Science & Psychology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Neuroscience

1. Bernhard Schölkopf
2. Yoshua Bengio
3. Anirudh Goyal

In Cognitive Science & Psychology

1. Anirudh Goyal
2. Nan Rosemary Ke
3. Bernhard Schölkopf
4. Yoshua Bengio
5. Francesco Locatello
6. Christopher D. Manning
7. Drew A. Hudson

Citations in the corpus

• Toward Causal Representation Learning (2021, background): “Such a representation allows children to quickly learn new tasks as their knowledge and intuitive understanding of physics can be reused [17], [53], [144], [250].”
• Towards Causal Representation Learning (2021, background): “their knowledge and intuitive understanding of physics can be re-used [15, 52, 144, 250].”
• Inductive biases for deep learning of higher-level cognition (2020, methodology): “The GWT (Baars, 1997; Dehaene, 2020) also posits that the brain is composed in a modular way, with a set of expert modules which need to communicate but only do so sparingly and via a bottleneck through which only a few elements can squeeze at any time.”