Linear vs non-linear integration in CA1 oblique dendrites (Gómez González et al. 2011)

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Accession:144450
The hippocampus in well known for its role in learning and memory processes. The CA1 region is the output of the hippocampal formation and pyramidal neurons in this region are the elementary units responsible for the processing and transfer of information to the cortex. Using this detailed single neuron model, it is investigated the conditions under which individual CA1 pyramidal neurons process incoming information in a complex (non-linear) as opposed to a passive (linear) manner. This detailed compartmental model of a CA1 pyramidal neuron is based on one described previously (Poirazi, 2003). The model was adapted to five different reconstructed morphologies for this study, and slightly modified to fit the experimental data of (Losonczy, 2006), and to incorporate evidence in pyramidal neurons for the non-saturation of NMDA receptor-mediated conductances by single glutamate pulses. We first replicate the main findings of (Losonczy, 2006), including the very brief window for nonlinear integration using single-pulse stimuli. We then show that double-pulse stimuli increase a CA1 pyramidal neuron’s tolerance for input asynchrony by at last an order of magnitude. Therefore, it is shown using this model, that the time window for nonlinear integration is extended by more than an order of magnitude when inputs are short bursts as opposed to single spikes.
Reference:
1 . Gómez González JF, Mel BW, Poirazi P (2011) Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about Time. Front Comput Neurosci 5:44 [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:
Cell Type(s): Hippocampus CA1 pyramidal GLU cell;
Channel(s): I Na,p; I CAN; I Sodium; I Calcium; I Potassium; I_AHP;
Gap Junctions:
Receptor(s): NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Active Dendrites; Detailed Neuronal Models; Synaptic Integration;
Implementer(s):
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; NMDA; I Na,p; I CAN; I Sodium; I Calcium; I Potassium; I_AHP;
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CA1_Gomez_2011
template
BasalPath.hoc
EPSPTuning.hoc *
ExperimentControl.hoc
ObliquePath.hoc *
RangeRef.hoc *
SynapseBand.hoc *
                            
// This function centralizes parameters so that we won't confuse experimental variable bindings with 
// neurophysiological variable bindings
// written by Terrence Brannon, modified by Yiota Poirazi, July 2001, poirazi@LNC.usc.edu
// modified by Jose Gomez, April 2006, jfcgomez@ull.es 

begintemplate ExperimentControl

public morphology_dir, generic_dir, data_dir
public lib_dir
strdef morphology_dir, generic_dir, data_dir
strdef lib_dir

public syscmd
strdef syscmd

public tmp_str, tmp_str2, tmp_str3
strdef tmp_str, tmp_str2, tmp_str3, tmp_str_internal

public defvar, self_define
public add_lib_dir, xopen_geometry_dependent, xopen_lib_dependent, xopen_generic, xopen_library

public printfile, create_variable

objref this, filep

objref tmpo, tmpo2, tmpo3
public tmpo, tmpo2, tmpo3

objref grapho[20], fileo[20]
public grapho, fileo

proc init () {
  print "object ExperimentControl created.\n"
  sprint(tmp_str,"show_errmess_always(%d)",$1)
  execute1(tmp_str)

  verbose_level=$2

  variable_dump_cleared=0
}


proc clear_variable_dump() {
  sprint(tmp_str, "system(\"rm -rf %s/variable_dump\")", data_dir)
  execute1(tmp_str)
}

proc defvar() {
  if (!variable_dump_cleared) {
    clear_variable_dump()
    variable_dump_cleared=1
  }
    
  sprint(tmp_str,"%s = %s", $s2, $s3)
  execute1(tmp_str)
  dump_variable($s1,$s2,$s3,$s4)
}

proc dump_variable() {

  filep=new File()

  sprint(tmp_str,"%s/variable_dump",data_dir)
  filep.aopen(tmp_str)
  filep.printf("%s\n%s\n%s\n%s\n\n", $s1, $s2, $s3, $s4)
  filep.close()
  
}

proc create_variable() {

  sprint(tmp_str_internal,"%s=%s",$s1,$s2)
  execute1(tmp_str_internal)
}


proc self_define() {
  this = $o1
}

proc xopen_geometry_dependent() {
  sprint(tmp_str,"xopen(\"%s/%s.hoc\")",morphology_dir,$s1)
  execute1(tmp_str)
}

proc xopen_lib_dependent() {				//by Jose Gomez
  sprint(tmp_str,"xopen(\"%s/%s.hoc\")",lib_dir,$s1)
  execute1(tmp_str)
}

proc xopen_generic() {
  sprint(tmp_str,"xopen(\"%s/%s.hoc\")",generic_dir,$s1)
  execute1(tmp_str)
}

proc xopen_library() {
  sprint(tmp_str, "%s.tmp_str2=lib_dir_%s",this,$s1)
  execute1(tmp_str)
  sprint(tmp_str3,"xopen(\"%s/%s.hoc\")",tmp_str2,$s2)
  print tmp_str3
  execute1(tmp_str3)
}

proc printfile() {
  sprint(tmp_str2, "%s/%s.ps", $s1,$s2)
  tmpo.printfile(tmp_str2)
}

proc add_lib_dir() {
  sprint(tmp_str,"strdef lib_dir_%s",$s1)
  execute1(tmp_str)
  sprint(tmp_str,"lib_dir_%s=\"%s\"",$s1,$s2)
  execute1(tmp_str)
}

endtemplate ExperimentControl



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