Attractors in Memory

By B. Poucet, E. Save. 2005

41 citations recorded by the source corpus.

One of the great puzzles that keeps neuroscientists busy is the question of how the brain makes distinctions between separate yet similar events, and encodes memories of these. In a Perspective, [Poucet and Save][1] discuss a new study in rats ([ Wills et al. ][2]) that demonstrates how hippocampal place cells of the rat brain abruptly change their electrical representations of slowly changing environments [1]: http://www.sciencemag.org/cgi/content/full/308/5723/799 [2]: http://www.sciencemag.org/cgi/content/short/308/5723/873

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Model Architectures

How researchers see this paper

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

In Cognitive Neuroscience

1. Song-Chun Zhu
2. Erik Nijkamp
3. Mitch Hill
4. Ying Nian Wu

In Model Architectures

1. Song-Chun Zhu
2. Erik Nijkamp
3. Mitch Hill
4. Ying Nian Wu

Citations in the corpus

• Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model (2019, background): “This includes the attractor dynamics popular in computational neuroscience [23, 3, 40].”