Analysis of Linsker's Simulations of Hebbian Rules

By David John Cameron MacKay, Kenneth D. Miller. 1990

How researchers see this paper

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

1. Kenneth D. Miller
2. Jennifer Olson Hasler
3. David John Cameron MacKay
4. Bo Marr
5. J. Urgen Schmidhuber
6. Yoshua Bengio
7. Zoubin Ghahramani
8. Yarin Gal

Citations in the corpus

• Finding a roadmap to achieve large neuromorphic hardware systems (2013, methodology): “…neurons as an ANN type model with different learning rules finding patterns corresponding to Principle Component Analysis (PCA) (e.g., Linsker, 1988; MacKay and Miller, 1990), Independent Component Analysis (ICA) (e.g., Bell and Sejnowski, 1995, 1997; Hoyer and Hyvarinen, 2000), and a range of…”
• The Role of Constraints in Hebbian Learning (1994, methodology): “Consider rst a simple equation for Hebbian synaptic plasticity, d dt w=Cw, where C is a matrix describing correlations among input activities (derived for example in MacKay and Miller, 1990a).”