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@INPROCEEDINGS{Bos:256314,
      author       = {Bos, Hannah and Schücker, Jannis and Diesmann, Markus and
                      Helias, Moritz},
      title        = {{T}he anatomical origin of locally generated and induced
                      oscillations in a model of the cortical microcircuit},
      reportid     = {FZJ-2015-06277},
      year         = {2015},
      abstract     = {Fast oscillations of the population firing rate in the high
                      gamma range (50-200 Hz), as well as slow firing rate
                      fluctuations are ubiquitous in cortical recordings and have
                      been hypothesized to be generated locally []. Exploiting the
                      recently introduced multi-layered spiking neural network
                      model of a cortical microcircuit [2] as well as our
                      mean-field theoretical framework, we address the question of
                      the anatomical origin of the observed oscillations by
                      analyzing the spectra generated in the resting state
                      condition as well as under the application of constant and
                      oscillatory input.Deriving the theoretical framework we
                      perform a two-step reduction allowing for an incremental
                      validation of first the prediction of the population firing
                      rates and second the prediction of the population rate
                      spectra. Building on previous work deriving the mapping of
                      populations of leaky integrate-and-fire neurons to a linear
                      rate model [] and the response function of populations of
                      neurons connected by exponentially decaying synapses [1,3],
                      the mean-field framework is applicable to optional
                      circuitries set in the asynchronous irregular regime. In the
                      resting condition the neurons in the model fire irregularly,
                      displaying little synchrony on the population level.
                      Increasing the external input to the excitatory population
                      in layer 5 elicits slow rate fluctuations, reflected as
                      elevated slow frequency components in the population rate
                      spectra. Strengthening the input to the superficial layers
                      triggers population oscillations in the gamma range, while
                      the individual neurons preserve a firing pattern close to
                      irregularity with low rates. We derive a sensitivity measure
                      determining the anatomical connections within the circuit
                      crucial for the generation of the peaks visible in the power
                      spectra as well as their impact on and significance for the
                      frequencies and amplitudes. We identify a sub-circuit
                      located in layer 2/3 and 4 constituting the basis of the
                      high frequency oscillations, while connections within and
                      onto layer 5 determine the existence and strength of slow
                      rate fluctuations. Since the sensitivity measure is derived
                      from the mean-field theory we can analyze the robustness of
                      these findings under changes of parameters in the neuron and
                      synapse model and conclude on the actual contributions of
                      the anatomical connections given their embedding in the full
                      circuit.Exploiting the mean-field framework we generate
                      predictions regarding changes in the power spectra under
                      various stimulation protocols. Analyzing the responses of
                      the circuit to oscillatory input we formulate predictions
                      addressing the susceptibility of individual populations to
                      specific frequencies.},
      month         = {Oct},
      date          = {2015-10-17},
      organization  = {SfN, Chicago (USA), 17 Oct 2015 - 21
                       Oct 2015},
      subtyp        = {Outreach},
      cin          = {INM-6 / IAS-6},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828},
      pnm          = {571 - Connectivity and Activity (POF3-571) / 89571 -
                      Connectivity and Activity (POF2-89571) / HASB - Helmholtz
                      Alliance on Systems Biology (HGF-SystemsBiology) / MSNN -
                      Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018)
                      / SMHB - Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017)},
      pid          = {G:(DE-HGF)POF3-571 / G:(DE-HGF)POF2-89571 /
                      G:(DE-Juel1)HGF-SystemsBiology /
                      G:(DE-Juel1)HGF-SMHB-2014-2018 /
                      G:(DE-Juel1)HGF-SMHB-2013-2017},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/256314},
}