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Reference cited by multiple papers
Lundqvist M, Herman P, Lansner A (2011) Theta and gamma power increases and alpha/beta power decreases with memory load in an attractor network model.
J Cogn Neurosci
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Fiebig F, Lansner A (2017)
A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation.
Ibañez S, Luebke JI, Chang W, Draguljic D, Weaver CM (2019)
Network Models Predict That Pyramidal Neuron Hyperexcitability and Synapse Loss in the dlPFC Lead to Age-Related Spatial Working Memory Impairment in Rhesus Monkeys.
Front Comput Neurosci
Bump Attractor Models: Delayed Response & Recognition Span - spatial condition (Ibanez et al 2019) [Model]
Kaplan BA, Lansner A (2014)
A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory system.
Front Neural Circuits
Self-organized olfactory pattern recognition (Kaplan & Lansner 2014) [Model]