Rhesus Monkey Layer 3 Pyramidal Neurons: V1 vs PFC (Amatrudo, Weaver et al. 2012)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:144553
Whole-cell patch-clamp recordings and high-resolution 3D morphometric analyses of layer 3 pyramidal neurons in in vitro slices of monkey primary visual cortex (V1) and dorsolateral granular prefrontal cortex (dlPFC) revealed that neurons in these two brain areas possess highly distinctive structural and functional properties. ... Three-dimensional reconstructions of V1 and dlPFC neurons were incorporated into computational models containing Hodgkin-Huxley and AMPA- and GABAA-receptor gated channels. Morphology alone largely accounted for observed passive physiological properties, but led to AP firing rates that differed more than observed empirically, and to synaptic responses that opposed empirical results. Accordingly, modeling predicts that active channel conductances differ between V1 and dlPFC neurons. The unique features of V1 and dlPFC neurons are likely fundamental determinants of area-specific network behavior. The compact electrotonic arbor and increased excitability of V1 neurons support the rapid signal integration required for early processing of visual information. The greater connectivity and dendritic complexity of dlPFC neurons likely support higher level cognitive functions including working memory and planning.
Reference:
1 . Amatrudo JM, Weaver CM, Crimins JL, Hof PR, Rosene DL, Luebke JI (2012) Influence of highly distinctive structural properties on the excitability of pyramidal neurons in monkey visual and prefrontal cortices J. Neurosci, 32(40):13644-60 [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: Neocortex; Prefrontal cortex (PFC);
Cell Type(s): Neocortex V1 pyramidal intratelencephalic L2-5 cell;
Channel(s): I N; I K;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Influence of Dendritic Geometry; Detailed Neuronal Models; Electrotonus; Conductance distributions;
Implementer(s): Weaver, Christina [christina.weaver at fandm.edu];
Search NeuronDB for information about:  Neocortex V1 pyramidal intratelencephalic L2-5 cell; I N; I K;
/
V1_PFC_ModelDB
README
kvz_nature.mod *
naz_nature.mod *
vsource.mod *
actionPotentialPlayer.hoc
add_axon.hoc
analyticFunctions.hoc
analyze_EPSC.m
aux_procs.hoc
batchrun.hoc
custominit.hoc
define_PFC.hoc
electro_procs.hoc
figOptions.hoc
fixnseg.hoc
init_model.hoc
init_PFC.hoc
Jul16IR3f_fromSWCthenManual_Nov22-11.hoc
load_scripts.hoc
main_fig10_pfc.hoc
main_fig10_v1baseline.hoc
main_fig10_v1tuned.hoc
main_fig9_pfcElec.hoc
main_fig9_v1Elec.hoc
main_PFC-ApBas_fig11epsc.hoc
main_PFC-ApBas_fig12ipsc.hoc
main_V1-ApBas_fig11epsc.hoc
main_V1-ApBas_fig12ipsc.hoc
May3IR2t_ImportFromSWCthenManual_Aug19-11.hoc
measureMeanAtten.hoc
mosinit.hoc
PFC-V1_AddSynapses.hoc
plot_seClamp_i.ses
plot_seClamp_IPSC.ses
read_EPSCsims_mdb.m
read_IPSCsims_mdb.m
readcell.hoc
readNRNbin_Vclamp.m
rigPFCmod.ses
synTweak.hoc
vsrc.ses
                            
Rhesus Monkey Layer 3 Pyramidal Neurons: V1 vs PFC (Amatrudo, Weaver
et al. 2012)

README for the models associated with the paper

Amatrudo JM, Weaver CM, Crimins JL, Hof PR, Rosene DL, Luebke JI.
Influence of highly distinctive structural properties on the
excitability of pyramidal neurons in monkey visual and prefrontal
cortices.  In Press, J Neurosci (2012).

These files were contributed by Christina Weaver [christina.weaver at
fandm.edu] and build off the model by Vetter et al. (2001), running
under the NEURON simulation environment.
 
Summary:

Whole-cell patch-clamp recordings and high-resolution 3D morphometric
analyses of layer 3 pyramidal neurons in in vitro slices of monkey
primary visual cortex (V1) and dorsolateral granular prefrontal cortex
(dlPFC) revealed that neurons in these two brain areas possess highly
distinctive structural and functional properties. ... Three-dimensional
reconstructions of V1 and dlPFC neurons were incorporated into
computational models containing Hodgkin-Huxley and AMPA- and
GABAA-receptor gated channels. Morphology alone largely accounted for
observed passive physiological properties, but led to AP firing rates
that differed more than observed empirically, and to synaptic
responses that opposed empirical results. Accordingly, modeling
predicts that active channel conductances differ between V1 and dlPFC
neurons. The unique features of V1 and dlPFC neurons are likely
fundamental determinants of area-specific network behavior. The
compact electrotonic arbor and increased excitability of V1 neurons
support the rapid signal integration required for early processing of
visual information. The greater connectivity and dendritic complexity
of dlPFC neurons likely support higher level cognitive functions
including working memory and planning.

------------------------------------------------

This model can be auto-launched from modeldb or run by starting the
mosinit.hoc with:

nrngui mosinit.hoc

or double clicking on the mosinit.hoc file after the mod files have
been compiled (nrnivmodl compiles in unix, mknrndll in mswin, mac)

Select a subfigure by clicking on a figure name.

Loading data, please wait...