A working memory model based on fast Hebbian learning

By Anders Sandberg, Jesper N. Tegnér, Anders Lansner. 2003

91 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

How researchers see this paper

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

In Cellular and Molecular Neuroscience

1. André Moraes Bastos
2. Earl K. Miller
3. Mikael Lundqvist

In Cognitive Neuroscience

1. Mikael Lundqvist
2. André Moraes Bastos
3. Earl K. Miller
4. Justin Riddle
5. Michael J Frank
6. Xiao-Jing Wang
7. J. Cohen
8. Matthew Botvinick

In Electrical and Electronic Engineering

1. Earl K. Miller
2. Mikael Lundqvist

Citations in the corpus

• Working Memory 2.0 (2018, background): “Working memories are held between spiking by spiking-induced changes in synaptic weights, ‘‘impressions’’ left in the network (Lundqvist et al., 2011, 2012; Mongillo et al., 2008; Sandberg et al., 2003; Stokes, 2015).”
• Gamma and beta bursts underlie working memory (2016, unknown): “Between the active states, information is held by selective synaptic changes in the recurrent connections and therefore not lost with disrupted activity (Sandberg et al., 2003; Mongillo et al., 2008; Lundqvist et al., 2011, 2012).”