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@INPROCEEDINGS{Duarte:186421,
      author       = {Duarte, Renato and Morrison, Abigail},
      title        = {{S}ynaptic adaptation stabilizes sequential stimulus
                      representations},
      reportid     = {FZJ-2015-00497},
      year         = {2014},
      abstract     = {Throughout our everyday experience, we are continuously
                      exposed to dynamic and highly complexstreams of multimodal
                      sensory information, which we tend to perceive as a series
                      of discrete andcoherently bounded sub-sequences [1]. While
                      these 'perceptual events' [2] are unfolding,
                      activerepresentations of the relevant stimulus features
                      (such as identity, duration, intensity, etc.) aremaintained
                      and ought to be sufficiently discernible by the distributed
                      responses of specifically tunedneuronal populations,
                      transiently associated into coherent ensembles [3].
                      Achieving suchdiscriminable responses constitutes a
                      fundamental, primary function of neocortical
                      circuits,necessary for specialized information processing to
                      take place and must rely on their ability to
                      selforganize,resorting to a complex interaction of various
                      activity-dependent modifications of synapticand intrinsic
                      neuronal properties.Such modifications ought to be robust
                      and reliable enough to endow neuronal circuits with
                      theability to dynamically adopt relevant representations of
                      time-varying, sequential events in astimulus- and
                      state-dependent manner, while maintaining the necessary
                      sensitivity to allow globalshifts in representational space
                      when necessary and to learn from and operate upon
                      relevantspatiotemporal dependencies between events. The
                      current state of the circuit, which largelyinfluences the
                      dynamical properties of such representations, is primarily
                      determined by the ongoing,internally generated activity,
                      which sets the ground state from which input-specific
                      transformationsemerge.In this work, we study the properties
                      of biologically realistic networks of LIF neurons,
                      withdifferentially modulated, dynamic excitation and
                      inhibition, combining well established as well asmore recent
                      phenomenological models of synaptic plasticity [4, 5]. We
                      begin by demonstrating thattiming-dependent synaptic
                      plasticity mechanisms have an important role to play in the
                      activemaintenance of an ongoing dynamics characterized by
                      asynchronous and irregular firing, closelyresembling
                      cortical activity in vivo. Incoming stimuli, acting as
                      perturbations of the local balance ofexcitation and
                      inhibition, require fast adaptive responses to prevent the
                      development of unstableactivity regimes, which we
                      objectively link between to a reduced generic computational
                      capacity.Additionally, we demonstrate that the action of
                      plasticity shapes and stabilizes the transient networkstates
                      exhibited in the presence of sequentially presented stimulus
                      events, allowing the developmentof adequate and discernible
                      stimulus representations. The main feature responsible for
                      the increaseddiscriminability of stimulus-driven population
                      responses in plastic networks is shown to be
                      thedecorrelating action of inhibitory plasticity and the
                      consequent maintenance of the asynchronousirregular dynamic
                      regime both for ongoing activity and stimulus-driven
                      responses, whereasexcitatory plasticity is shown to play
                      only a marginal role.References:[1] Schapiro, A. C., Rogers,
                      T. T., Cordova, N. I., Turk-Browne, N. B., and Botvinick, M.
                      M.(2013), Neural representations of events arise from
                      temporal community structure., NatureNeuroscience, 16, 4,
                      486 92, doi:10.1038/nn.3331[2] Zacks, J. M., Speer, N. K.,
                      Swallow, K. M., Braver, T. S., and Reynolds, J. R. (2007),
                      Eventperception: a mind-brain perspective., Psychological
                      Bulletin, 133, 2, 273–93,
                      doi:10.1037/0033-2909.133.2.273[3] Singer, W. (2013),
                      Cortical dynamics revisited., Trends in Cognitive Sciences,
                      17, 12, 616–26,doi:10.1016/j.tics.2013.09.006[4] Vogels,
                      T. P., Sprekeler, H., Zenke, F., Clopath, C., and Gerstner,
                      W. (2011), Inhibitory plasticitybalances excitation and
                      inhibition in sensory pathways and memory networks.,
                      Science, 334, 6062,569–73, doi:10.1126/science.1211095[5]
                      Morrison, A., Diesmann, M., and Gerstner, W. (2008),
                      Phenomenological models of synapticplasticity based on spike
                      timing, Biological Cybernetics, 98, 459–478,
                      doi:10.1007/s00422-008-0233-1},
      month         = {Dec},
      date          = {2014-12-16},
      organization  = {7th International Workshop in Guided
                       Self-Organization, Freiburg (Germany),
                       16 Dec 2014 - 18 Dec 2014},
      subtyp        = {Invited},
      cin          = {INM-6 / IAS-6},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828},
      pnm          = {311 - Signaling pathways, cell and tumor biology (POF2-311)
                      / 89572 - (Dys-)function and Plasticity (POF2-89572) /
                      W2Morrison - W2/W3 Professorinnen Programm der
                      Helmholtzgemeinschaft (B1175.01.12)},
      pid          = {G:(DE-HGF)POF2-311 / G:(DE-HGF)POF2-89572 /
                      G:(DE-HGF)B1175.01.12},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/186421},
}