Models of Information Processing in the Brain

By James E. . Hinton. 2014

16 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture

How researchers see this paper

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

In Artificial Intelligence

1. Sergey Levine
2. Pieter Abbeel
3. Chelsea Finn
4. Yoshua Bengio
5. Ruslan Salakhutdinov
6. Josh Tenenbaum
7. Trevor Darrell
8. Mohit Bansal

In Computational Theory and Mathematics

1. Sergey Levine
2. Abhishek Gupta
3. Jimmy Ba
4. Geoffrey E. Hinton
5. Joel Z. Leibo
6. T. Griffiths
7. Catalin Ionescu
8. Volodymyr Mnih

In Hardware and Architecture

1. Geoffrey E. Hinton
2. Jimmy Ba

Citations in the corpus

• Using Fast Weights to Attend to the Recent Past (2016, background): “[1969], Kohonen [1972], Anderson and Hinton [1981], Hopfield [1982] was the idea that memories were not stored by somehow keeping copies of patterns of neural activity.”
• Automatically Composing Representation Transformations as a Means for Generalization (2018, background): “The fast-weights (FW) literature [7, 71] is also related to the idea of selecting different weights at different steps of computation, but with a different motivation for learning context-dependent associative memory [3, 39, 44, 48, 86].”