Input Fluctuations effects on f-I curves (Arsiero et al. 2007)

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Accession:83590
"... We examined in vitro frequency versus current (f-I) relationships of layer 5 (L5) pyramidal cells of the rat medial prefrontal cortex (mPFC) using fluctuating stimuli. ...our results show that mPFC L5 pyramidal neurons retain an increased sensitivity to input fluctuations, whereas their sensitivity to the input mean diminishes to near zero. This implies that the discharge properties of L5 mPFC neurons are well suited to encode input fluctuations rather than input mean in their firing rates, with important consequences for information processing and stability of persistent activity at the network level."
Reference:
1 . Arsiero M, Lüscher HR, Lundstrom BN, Giugliano M (2007) The impact of input fluctuations on the frequency-current relationships of layer 5 pyramidal neurons in the rat medial prefrontal cortex. J Neurosci 27:3274-84 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Prefrontal cortex (PFC);
Cell Type(s): Neocortex L5/6 pyramidal GLU cell;
Channel(s): I Sodium; I Potassium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Simplified Models; Action Potentials; Spike Frequency Adaptation;
Implementer(s):
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell; I Sodium; I Potassium;
//
// Parameters of the simulated experiments, where a fluctuating current is injected into a HH neuron
// with appropriate values for mean and variance of such current. These values are then swept within some range.
//
// Refer to: Arsiero, M., Luescher, H.-R., Lundstrom, B.N., and Giugliano, M. (2007). The Impact of Input Fluctuations on the Frequency-Current Relationships of Layer 5 Pyramidal Neurons in the Rat Medial Prefrontal Cortex. sumbitted.
//

  mustart  = -0.400      //uA
  mustop   = 0.800       //uA
  mustep   = 0.050        //uA

  sigmastart  = 0.064     //uA
  sigmastop   = 0.128    //uA
  sigmastep   = 0.032     //pA

  
  Tdelay = 100.        // Wait for the voltage & state vars to relax at time t = 0
  T1     = 500.        // The stimulation last (T1 + T), but during T1 no spike is counted
  T      = 5500.       // so that the mean firing rate is computed at the steady-state.
  dt     = 0.025       // ms - integration time step

  //
  // "numpoints" is just a way to know in advance how many current injection are expected given the
  // user choice of the range [mustart ; mustop] and [sigmastart ; sigmastop].
  //
  
  numpoints = ((mustop - mustart)/mustep + 1) * ((sigmastop - sigmastart)/sigmastep + 1)

  //
  // This writes on disk the values of standard deviations (i.e. sigma) used.
  //
  
  for (sigma = sigmastart; sigma <= sigmastop; sigma = sigma + sigmastep) {
   notesTF_file.printf("%f\t ", sigma)
  }
  notesTF_file.close()

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