Synchronization and pattern separation in spiking associative memories and visual cortical areas
By Andreas Knoblauch. 2004
28 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Electrical and Electronic Engineering
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Citations in the corpus
- Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect (2014, methodology): “tool [55] to implement large networks with many potential synapses and to simulate network evolution by”
- Memory Capacities for Synaptic and Structural Plasticity (2010, background): “A theoretical analysis including add noise (κ ≥ 0) is more difficult (cf. Palm & Sommer, 1996; Sommer & Palm, 1999; Knoblauch, 2003b).”
- Optimal synaptic learning in non-linear associative memory (2010, background): “…in similar network models by structural plasticity (meaning the elimination and generation of synapses [60]) yields a much higher diverging synaptic capacity where the information that a binary synapse can store scales with the logarithm of the network size n [61], [62], [63], [64], [29], [65].”