Pattern separation and synchronization in spiking associative memories and visual areas

By Andreas Knoblauch, Günther Palm. 2001

83 citations recorded by the source corpus.

Subfields: 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): “However, for the investigation of memory phenomena, there exist more realistic retrieval methods that are based on spiking neurons and iterative (gamma range) oscillatory activity propagation [64,65].”
Scene segmentation by spike synchronization in reciprocally connected visual areas. II. Global assemblies and synchronization on larger space and time scales (2002, methodology): “Parameters were chosen to be in an equivalent regime, and the results of the two models are very similar (see Knoblauch and Palm 2001a; 2002, Fig. 9).”
The time dimension for scene analysis (2005, background): “Memory-based segmentation has been previously studied [57], [65], [77], [120], [145].”
Synaptic plasticity, conduction delays, and inter-areal phase relations of spike activity in a model of reciprocally connected areas (2003, methodology): “The neuron model in this study is a standard spiking neuron similar to [5].”
Optimal synaptic learning in non-linear associative memory (2010, background): “(14) Here the negative sum could be realized, for example, by feedforward inhibition with a strength proportional to the query pattern activity (e.g., [49]).”
Memory Capacities for Synaptic and Structural Plasticity (2010, background): “, 1996; Sommer and Palm, 1999), Improved threshold strategies (Buckingham and Willshaw, 1993; Graham and Willshaw, 1995), and retrieval with spiking neurons (Knoblauch and Palm, 2001; Knoblauch, 2003b) can significantly improve network capacity and retrieval accuracy in small memory networks.”
Neural Associative Memory with Optimal Bayesian Learning (2011, methodology): “(2.18) Here the negative sum could be realized, for example, by feedforward inhibition with a strength proportional to the query pattern activity, as suggested by Knoblauch and Palm (2001) and Knoblauch (2005), for example.”
Synchronization and pattern separation in spiking associative memories and visual cortical areas (2004, methodology): “For a spiking variant of the Willshaw model in chapter 4 we introduce the so-called counter model [86, 89, 90] which can be seen as the abstract version of a more realistic neuron model used for the biological models in chapter 4 and 5.”