function specification = assembleExtSpec_single_syn(numCellsScale)
%ASSEMBLEEXTSPEC - Construct and connect the cortex of the (Benita et al., 2012) model
%
% assembleSpecification builds a (Benita et al., 2012)-type DynaSim
% specification, including both its populations and connections from the many
% mechanism files contained in the 'models/' subdirectory.
%
% Inputs:
% 'dt': time resolution of the simulation, in ms
% 'numCellsScale': number to multiply each cell population size
% by, between 0 and 1. To run the full model, use
% 1. If one wishes to run a smaller model, since
% the default model is rather large, use a
% smaller proportion like 0.2.
%
% Outputs:
% 'specification': DynaSim specification structure for the (Benita
% et al., 2012) model.
%
% Dependencies:
% - This has only been tested on MATLAB version 2017a.
%
% References:
% - Benita, J. M., Guillamon, A., Deco, G., & Sanchez-Vives, M. V. (2012).
% Synaptic ession and slow oscillatory activity in a biophysical
% network model of the cerebral cortex. Frontiers in Computational
% Neuroscience, 6. https://doi.org/10.3389/fncom.2012.00064
%
%
% Author: Austin E. Soplata <austin.soplata@gmail.com>
% Copyright (C) 2018 Austin E. Soplata, Boston University, USA
% -------------------------------------------------------------------
%% 1. Make master equations and initialize
% -------------------------------------------------------------------
% Define equations of cell model (same for all populations)
% AES yes need to remove the second spikes argument for 2021b syns that
% need spiking
eqns={
'dv/dt=(@current)/Cm'
'Cm = 1' % uF/cm^2
'spike_threshold = -25'
'monitor v.spikes(spike_threshold, 2)'
'vIC = -68' % mV
'vNoiseIC = 50' % mV
'v(0) = vIC+vNoiseIC*rand(1,Npop)'
};
% eqns={
% 'dv/dt=(@current)/Cm'
% 'Cm = 1' % uF/cm^2
% 'spike_threshold = -25'
% 'monitor v.spikes(spike_threshold)'
% 'vIC = -68' % mV
% 'vNoiseIC = 50' % mV
% 'v(0) = vIC+vNoiseIC*rand(1,Npop)'
% };
% Initialize DynaSim specification structure
specification=[];
% -------------------------------------------------------------------
%% 2. Assemble Cortex Model and Intracortical Connections
% -------------------------------------------------------------------
% PY cells and intercompartmental PY connections:
specification.populations(1).name='PYdr';
specification.populations(1).size=round(numCellsScale*100);
specification.populations(1).equations=eqns;
specification.populations(1).mechanism_list={...
'CaBuffer_PYdr_JB12',...
'iAppliedCurrent',...
'iHVA_PYdr_JB12',...
'iKCa_PYdr_JB12',...
'iNaP_PYdr_JB12',...
'iAR_PYdr_JB12',...
};
% Note that the soma mechanisms are somewhat sensitive to initial conditions
specification.populations(2).name='PYso';
specification.populations(2).size=round(numCellsScale*100);
specification.populations(2).equations=eqns;
specification.populations(2).mechanism_list={...
'iAppliedCurrent',...
'iLeak_PYso_JB12',...
'iNa_PYso_JB12',...
'iK_PYso_JB12',...
'iA_PYso_JB12',...
'iKS_PYso_JB12',...
};
specification.connections(1).direction='PYso<-PYdr';
specification.connections(1).mechanism_list={...
'iCOM_PYso_PYdr_JB12',...
'iNaCurrs_PYso_PYdr_JB12',...
};
specification.connections(2).direction='PYdr<-PYso';
specification.connections(2).mechanism_list={...
'iCOM_PYdr_PYso_JB12',...
'iAMPA_PYdr_PYso_JB12'};%,...
% 'iNMDA_PYdr_PYso_JB12'};
% IN cells and intercompartmental IN connections:
specification.populations(3).name='IN';
specification.populations(3).size=round(numCellsScale*20);
specification.populations(3).equations=eqns;
specification.populations(3).mechanism_list={...
'iAppliedCurrent',...
'iLeak_IN_JB12',...
'iNa_IN_JB12',...
'iK_IN_JB12',...
};
%
% % PY<->IN connections/synapses
% specification.connections(3).direction='IN<-PYso';
% specification.connections(3).mechanism_list={...
% 'iAMPA_IN_PYso_JB12',...
% 'iNMDA_IN_PYso_JB12'};
%
% specification.connections(4).direction='PYso<-IN';
% specification.connections(4).mechanism_list={...
% 'iGABAA_PYso_IN_JB12'};
%
% specification.connections(5).direction='IN<-IN';
% specification.connections(5).mechanism_list={...
% 'iGABAA_IN_IN_JB12'};
% -------------------------------------------------------------------
%% 3. Assemble Thalamic Model and Intrathalamic Connections
% -------------------------------------------------------------------
specification.populations(4).name='TC';
specification.populations(4).size=round(numCellsScale*20);
specification.populations(4).equations=eqns;
specification.populations(4).mechanism_list={...
'iAppliedCurrent',...
'iNa_TC_AS17',...
'iK_TC_AS17',...
'iLeak_TC_AS17',...
'iKLeak_TC_AS17',...
'CaBuffer_TC_AS17',...
'iT_TC_AS17',...
'iH_TC_AS17'};
specification.populations(5).name='TRN';
specification.populations(5).size=round(numCellsScale*20);
specification.populations(5).equations=eqns;
specification.populations(5).mechanism_list={...
'iAppliedCurrent',...
'iNa_TRN_AS17',...
'iK_TRN_AS17',...
'iLeak_TRN_AS17',...
'iKLeak_TRN_AS17',...
'iT_TRN_AS17'};
specification.connections(3).direction='TC<-TRN';
specification.connections(3).mechanism_list={...
'iGABAA_TC_TRN_AS17',...
'iGABAB_TC_TRN_AS17',...
};
specification.connections(4).direction='TRN<-TRN';
specification.connections(4).mechanism_list={'iGABAA_TRN_TRN_AS17'};
specification.connections(5).direction='TRN<-TC';
specification.connections(5).mechanism_list={'iAMPA_TRN_TC_AS17'};
% -------------------------------------------------------------------
%% 4. Thalamo-cortical Connections
% -------------------------------------------------------------------
specification.connections(6).direction='PYdr<-TC';
specification.connections(6).mechanism_list={'iAMPA_PYdr_TC'};
specification.connections(7).direction='IN<-TC';
specification.connections(7).mechanism_list={'iAMPA_IN_TC'};
specification.connections(8).direction='TC<-PYso';
specification.connections(8).mechanism_list={'iAMPA_TC_PYso'};
specification.connections(9).direction='TRN<-PYso';
specification.connections(9).mechanism_list={'iAMPA_TRN_PYso'};