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- TITLE AMPA and NMDA receptor with presynaptic short-term plasticity
- COMMENT
- AMPA and NMDA receptor conductance using a dual-exponential profile
- presynaptic short-term plasticity based on Fuhrmann et al. 2002
- Implemented by Srikanth Ramaswamy, Blue Brain Project, July 2009
- GUY: Removed plasticity and depression
- ENDCOMMENT
- NEURON {
- POINT_PROCESS NMDA
- RANGE tau_r_NMDA, tau_d_NMDA,n_NMDA,gama_NMDA
- RANGE Use
- RANGE i, i_NMDA, g_NMDA, e, gmax
- NONSPECIFIC_CURRENT i
- }
- PARAMETER {
- n_NMDA = 0.28011 (/mM)
- gama_NMDA = 0.062 (/mV)
- tau_r_NMDA = 0.3 (ms) : dual-exponential conductance profile
- tau_d_NMDA = 43 (ms) : IMPORTANT: tau_r < tau_d
- Use = 1.0 (1) : Utilization of synaptic efficacy (just initial values! Use, Dep and Fac are overwritten by BlueBuilder assigned values)
- e = 0 (mV) : AMPA and NMDA reversal potential
- mg = 1 (mM) : initial concentration of mg2+
- mggate
- :gmax = .001 (uS) :1nS weight conversion factor (from nS to uS)
- u0 = 0 :initial value of u, which is the running value of Use
- }
- COMMENT
- The Verbatim block is needed to generate random nos. from a uniform distribution between 0 and 1
- for comparison with Pr to decide whether to activate the synapse or not
- ENDCOMMENT
-
-
- ASSIGNED {
- v (mV)
- i (nA)
- i_NMDA (nA)
- g_NMDA (uS)
- factor_NMDA
-
- }
- STATE {
-
- A_NMDA : NMDA state variable to construct the dual-exponential profile - decays with conductance tau_r_NMDA
- B_NMDA : NMDA state variable to construct the dual-exponential profile - decays with conductance tau_d_NMDA
- }
- INITIAL{
- LOCAL tp_NMDA
-
- A_NMDA = 0
- B_NMDA = 0
-
- tp_NMDA = (tau_r_NMDA*tau_d_NMDA)/(tau_d_NMDA-tau_r_NMDA)*log(tau_d_NMDA/tau_r_NMDA) :time to peak of the conductance
-
-
-
- factor_NMDA = -exp(-tp_NMDA/tau_r_NMDA)+exp(-tp_NMDA/tau_d_NMDA) :NMDA Normalization factor - so that when t = tp_NMDA, gsyn = gpeak
- factor_NMDA = 1/factor_NMDA
-
- }
- BREAKPOINT {
- SOLVE state METHOD cnexp
- mggate = 1 / (1 + exp(gama_NMDA * -(v)) * (n_NMDA)) :mggate kinetics - Jahr & Stevens 1990
- g_NMDA = (B_NMDA-A_NMDA) * mggate :compute time varying conductance as the difference of state variables B_NMDA and A_NMDA and mggate kinetics
-
- i_NMDA = g_NMDA*(v-e) :compute the NMDA driving force based on the time varying conductance, membrane potential, and NMDA reversal
- i = i_NMDA
- }
- DERIVATIVE state{
-
- A_NMDA' = -A_NMDA/tau_r_NMDA
- B_NMDA' = -B_NMDA/tau_d_NMDA
- }
- NET_RECEIVE (weight, weight_NMDA){
-
- weight_NMDA = weight
-
-
- A_NMDA = A_NMDA + weight_NMDA*factor_NMDA
- B_NMDA = B_NMDA + weight_NMDA*factor_NMDA
-
- }
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