@Article{Rehn2004,
  Author         = {Rehn, M and Lansner, A},
  Title          = {Sequence memory with dynamical synapses},
  Journal        = {Neurocomputing},
  Volume         = {58-60},
  Pages          = {271-278},
  abstract       = {We present an attractor model of cortical memory,
                   capable of sequence learning. The network incorporates
                   a dynamical synapse model and is trained using a
                   Hebbian learning rule that operates by redistribution
                   of synaptic efficacy. It performs sequential recall or
                   unordered recall depending on parameters. The model
                   reproduces data from free recall experiments in humans.
                   Memory capacity scales with network size, storing
                   sequences at about 0.18 bits per synapse.},
  keywords       = {Sequence learning; Free recall; Dynamical synapses;
                   Synaptic depression; Attractor memory},
  month          = {Jan},
  url            = {http://dx.doi.org/10.1016/j.neucom.2004.01.055},
  year           = 2004
}