Engaging distinct oscillatory neocortical circuits (Vierling-Claassen et al. 2010)

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Accession:141273
"Selective optogenetic drive of fast-spiking (FS) interneurons (INs) leads to enhanced local field potential (LFP) power across the traditional “gamma” frequency band (20–80 Hz; Cardin et al., 2009). In contrast, drive to regular-spiking (RS) pyramidal cells enhances power at lower frequencies, with a peak at 8 Hz. The first result is consistent with previous computational studies emphasizing the role of FS and the time constant of GABAA synaptic inhibition in gamma rhythmicity. However, the same theoretical models do not typically predict low-frequency LFP enhancement with RS drive. To develop hypotheses as to how the same network can support these contrasting behaviors, we constructed a biophysically principled network model of primary somatosensory neocortex containing FS, RS, and low-threshold spiking (LTS) INs. ..."
Reference:
1 . Vierling-Claassen D, Cardin JA, Moore CI, Jones SR (2010) Computational modeling of distinct neocortical oscillations driven by cell-type selective optogenetic drive: separable resonant circuits controlled by low-threshold spiking and fast-spiking interneurons. Front Hum Neurosci 4:198 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex V1 pyramidal intratelencephalic L2-6 cell; Neocortex fast spiking (FS) interneuron; Neocortex spiking regular (RS) neuron; Neocortex spiking low threshold (LTS) neuron;
Channel(s): I Na,t; I T low threshold; I K; I M; I h; I K,Ca; I Calcium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Oscillations; Detailed Neuronal Models; Brain Rhythms; Evoked LFP;
Implementer(s): Vierling-Claassen, Dorea ;
Search NeuronDB for information about:  Neocortex V1 pyramidal intratelencephalic L2-6 cell; I Na,t; I T low threshold; I K; I M; I h; I K,Ca; I Calcium;
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Vierling-ClaassenEtAl2010
batchsims
confiles
README
ar.mod
ca.mod *
cad.mod *
cat.mod
fdsexp2syn.mod *
Gfluct.mod *
gnetstim.mod
kca.mod *
km.mod *
kv.mod *
na_2.mod
light_batch_FSdrive.hoc
light_genconn_DB.m
lightgamma_drive_DB.hoc
lightgamma_init_DB.hoc
lightgamma_LFP_DB.hoc
lightgamma_localconn_DB.hoc
lightgamma_network_DB.hoc
lightgamma_noise_DB.hoc
lightgamma_wiring_DB.hoc
lightgamma_wiring_proc_DB.hoc
                            
% Generate random connectivity files for reading into lightgamma Neuron 6X6 Network
% Dorea Vierling-Claassen 2009
% For paper Vierling-Claassen et al., 2010, Frontiers in Human Neuroscience

% Connection probabilities between populations:

%E=pyramid
%I=FS IN 
%S=SOM/LTS

cl=clock;

%DN='confiles/Con_1-28-10_1/'

trialnum=1
DN=['confiles/con_',num2str(cl(2)),'-',num2str(cl(3)),'-',num2str(cl(1)),'-',num2str(trialnum),'/']

NumEx=6;
NumEy=6;
NumIx=2;
NumIy=3;
NumSx=2;
NumSy=3;

% Projections from E cells
P_EE=.06;
P_EI=.43;
P_ES=.57;

% Projections from FS cells
P_IE=.44;
P_II=.51;
P_IS=.36;

% Projections from Som
P_SE=.35;
P_SI=.61;
P_SS=0; % actual value is .04, but in this small network with 6 Som this is <1 connection


% E projection connfiles:
FN=[DN,'Con_EE','.dat']
Con_EE=randconn_ind_noaut(NumEx,NumEy,P_EE);
save(FN, 'Con_EE', '-ASCII')

FN=[DN,'Con_EI','.dat']
Con_EI=randconn_ind(NumEx,NumEy,NumIx,NumIy,P_EI);
save(FN, 'Con_EI', '-ASCII')

FN=[DN,'Con_ES','.dat']
Con_ES=randconn_ind(NumEx,NumEy,NumSx,NumSy,P_ES);
save(FN, 'Con_ES', '-ASCII')

% FS projection connfiles:
FN=[DN,'Con_IE','.dat']
Con_IE=randconn_ind(NumIx,NumIy,NumEx,NumEy,P_IE);
save(FN, 'Con_IE', '-ASCII')

FN=[DN,'Con_II','.dat']
Con_II=randconn_ind_noaut(NumIx,NumIy,P_II);
save(FN, 'Con_II', '-ASCII')

FN=[DN,'Con_IS','.dat']
Con_IS=randconn_ind(NumIx,NumIy,NumSx,NumSy,P_IS);
save(FN, 'Con_IS', '-ASCII')

% Som projection connfiles:
FN=[DN,'Con_SE','.dat']
Con_SE=randconn_ind(NumSx,NumSy,NumEx,NumEy,P_SE);
save(FN, 'Con_SE', '-ASCII')

FN=[DN,'Con_SI','.dat']
Con_SI=randconn_ind(NumSx,NumSy,NumIx,NumIy,P_SI);
save(FN, 'Con_SI', '-ASCII')

FN=[DN,'Con_SS','.dat']
Con_SS=randconn_ind_noaut(NumSx,NumSy,P_SS);
save(FN, 'Con_SS', '-ASCII')



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