Memory Capacity of Balanced Networks

By Yuval Aviel, David Horn, Moshe Abeles. 2005

36 citations recorded by the source corpus.

Subfields: Artificial Intelligence, 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 Artificial Intelligence

1. Andreas Knoblauch
2. Friedrich T. Sommer
3. Edgar Körner
4. Ursula Körner
5. Günther Palm
6. Will Y. Zou

In Cognitive Neuroscience

1. Andreas Knoblauch
2. Friedrich T. Sommer
3. Edgar Körner
4. Ursula Körner
5. Günther Palm

In Electrical and Electronic Engineering

1. Andreas Knoblauch
2. Friedrich T. Sommer
3. Edgar Körner
4. Ursula Körner
5. Günther Palm

Citations in the corpus

• Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect (2014, background): “support the sparsification of memory representations [82–85] and stabilize small cell assemblies that would appear unstable for a fixed low connectivity [86,87].”
• Memory Capacities for Synaptic and Structural Plasticity (2010, background): “This threshold setting can be easily implemented in technical systems and is also biologically very plausible, for example based on feed-forward inhibition via “shadow” interneurons (cf. Knoblauch and Palm, 2001; Knoblauch, 2003b, 2005; Aviel et al., 2005).”