// Parameters of the 2D OB network model
// Random seeds
seedU = 88 // For uniform distribution
seedN = 100 // For normal (Gaussian) distribution
NSSEED = 2 // Random seed for the background inputs
// Number of neurons
nmitx = 5 // MC array
nmity = 5 // MC array
nMit = nmitx*nmity // 25
npgx = 5 // PG array
npgy = 5 // PG array
nPG = npgx*npgy // 25
ngranx = 10 // GC array
ngrany = 10 // GC array
nGran = ngranx*ngrany // default: 100
Hgc = (ngranx)/2 // Middle point of GC
RATIO = nGran/100
// Odor inputs
Todor = 2000 // Start time of odor
RiseRate = 100 // Rise rate of the odor
Pre_Odor_L = 0.1 // Pre_odor lower limit
Pre_Odor_U = 0.2 // Pre_odor upper limit
Odor_L = 0.2 // Steady odor lower limit
Odor_U = 1.0 // Steady odor upper limit
// Connectivity
Pc = 0.3 // Connectivity probability between MCs and GCs
// Spatial distance
LEN = 1000 // Length of the OB in um
R = 500 // Length of the MC lateral dendrite
dm = LEN/(nmitx-1) // Distance between two neighboring MCs
dg = LEN/(ngranx-1) // Distance between two neighboring GCs
// Specific inputs
Km2p = 0.4 // Scaling factor of PG to MC input intensity
// Synaptic weights
Wm2p = 1 // MC to PG
Wm2g = 1 // MC to GC
Wp2m = 4 // PG to MC
Wg2m = 2/RATIO // GC to MC
// Peak conductance
AMPAgmaxPG = 2e-3 // Peak conductance for MC-PG
NMDAgmaxPG = 1e-3 // Peak conductance for MC-PG
GABAAgmaxPG = 2e-3 // Peak conductance for PG-MC
AMPAgmaxGC = 2e-3 // Peak conductance for MC-GC
NMDAgmaxGC = 1e-3 // Peak conductance for MC-GC
GABAAgmaxGC = 2e-3 // Peak conductance for GC-MC
Gampa = 30e-3 // 30 nS, summed peak conductance for MC-GC
Gnmda = 15e-3 // 15 nS, summed peak conductance for MC-GC
Ggaba = 60e-3 // 60 nS, summed peak conductance for GC-MC
// Synaptic time constants
tau1_AMPA = 1 // AMPA rise time constant
tau2_AMPA = 5.5 // AMPA decay time constant
tau1_NMDA = 52 // NMDA rise time constant
tau2_NMDA = 343 // NMDA decay time constant
tau1_GABA_PG = 1.25 // GABA rise time constant (PG-MC)
tau2_GABA_PG = 18 // GABA decay time constant (PG-MC)
tau1_GABA_GC = 1.25 // GABA rise time constant (GC-MC)
tau2_GABA_GC = 18 // GABA decay time constant (GC-MC)
AMPAalpha = 1/tau1_AMPA
AMPAbeta = 1/tau2_AMPA
NMDAalpha = 1/tau1_NMDA
NMDAbeta = 1/tau2_NMDA
GABAAalpha_PG = 1/tau1_GABA_PG
GABAAbeta_PG = 1/tau2_GABA_PG
GABAAalpha_GC = 1/tau1_GABA_GC
GABAAbeta_GC = 1/tau2_GABA_GC
// Reserval potentials
AMPArev = 0
NMDArev = 0
GABAArev = -80
// Synapitc activation threshold
AMPAact = 0
NMDAact = 0
GABAAact = -40
// Synaptic gradeness
AMPAsigma = 0.2
NMDAsigma = 0.2
GABAAsigma = 2
//Simulation of ACh effect (Not used in the current model)
NICOTIN = 0 // 0: No effect
MUSCARIN = 0 // 0: No effect
| 
