Calcium response prediction in the striatal spines depending on input timing (Nakano et al. 2013)

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Accession:151458
We construct an electric compartment model of the striatal medium spiny neuron with a realistic morphology and predict the calcium responses in the synaptic spines with variable timings of the glutamatergic and dopaminergic inputs and the postsynaptic action potentials. The model was validated by reproducing the responses to current inputs and could predict the electric and calcium responses to glutamatergic inputs and back-propagating action potential in the proximal and distal synaptic spines during up and down states.
Reference:
1 . Nakano T, Yoshimoto J, Doya K (2013) A model-based prediction of the calcium responses in the striatal synaptic spines depending on the timing of cortical and dopaminergic inputs and post-synaptic spikes. Front Comput Neurosci 7:119 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Synapse;
Brain Region(s)/Organism:
Cell Type(s): Neostriatum medium spiny direct pathway GABA cell;
Channel(s): I Na,p; I Na,t; I L high threshold; I A; I K; I K,leak; I K,Ca; I CAN; I Sodium; I Calcium; I Potassium; I A, slow; I Krp; I R; I Q; I Na, leak; I Ca,p; Ca pump;
Gap Junctions:
Receptor(s): D1; AMPA; NMDA; Glutamate; Dopaminergic Receptor; IP3;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Reinforcement Learning; STDP; Calcium dynamics; Reward-modulated STDP;
Implementer(s): Nakano, Takashi [nakano.takashi at gmail.com];
Search NeuronDB for information about:  Neostriatum medium spiny direct pathway GABA cell; D1; AMPA; NMDA; Glutamate; Dopaminergic Receptor; IP3; I Na,p; I Na,t; I L high threshold; I A; I K; I K,leak; I K,Ca; I CAN; I Sodium; I Calcium; I Potassium; I A, slow; I Krp; I R; I Q; I Na, leak; I Ca,p; Ca pump;
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Nakano_FICN_model
stim_files2
tau_tables
readme.html
AMPA.mod
bkkca.mod *
cadyn.mod
caL.mod
caL13.mod
caldyn.mod
can.mod
caq.mod
car.mod *
cat.mod
damsg.mod
ER.mod
GABA.mod *
kaf.mod *
kas.mod *
kir.mod
krp.mod *
MGLU.mod
naf.mod
nap.mod *
NMDA.mod
skkca.mod *
stim.mod *
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_timed_input_1AP_spine_post.hoc
_timed_input_Glu.hoc
all_tau_vecs.hoc *
baseline_values.txt
basic_procs.hoc
create_mspcells.hoc *
current_clamp.ses
fig4a.png
make_netstims.hoc
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msp_template.hoc
nacb_main.hoc
netstims_template.hoc *
posttiming.txt
set_synapse.hoc
set_synapse_caL.hoc
set_synapse_caL13.hoc
set_synapse_can.hoc
set_synapse_caq.hoc
set_synapse_ER.hoc
set_synapse_kir.hoc
set_synapse_naf.hoc
set_synapse_NMDA.hoc
stimxout_jns_sqwave_noinput.dat
synapse_templates.hoc
                            
COMMENT
Simple model of synaptic modulation of a second messenger "msg" by dopamine.
msg approaches its steady state msginf with a single time constant tau.
Initially msg has value msginf = 1, and tau is tau0
(default is 100 ms).

If an input event with positive weight w arrives at time t
  If msginf == 1
    msginf = 1+w
    tau = tau1
    send a self-event that will return at t+dur
  else
    move the self-event to t+dur (i.e. just prolong "on" phase)

If a self-event arrives
   msginf = 1
   tau = tau0

An input event with negative weight has no effect.


Affects other mechanisms via POINTER variables linked to msg.


This model has simple dynamics and no stream-specificity.
ENDCOMMENT

NEURON {
	POINT_PROCESS DAsyn
	RANGE tau, tau0, tau1, dur, msg, msginf, spkcnt, ip3i
}

PARAMETER {
	tau0 = 100 (ms)
	tau1 = 30 (ms)
	dur = 60:600 (ms)
}

ASSIGNED {
	tau (ms)
	msginf (1)
	
spkcnt
	ip3i (mM)

}

STATE {
	msg (1)
}

INITIAL {
	tau = tau0
	msginf = 1
	msg = 1

	spkcnt=0
		ip3i =0
}

BREAKPOINT {
	SOLVE state METHOD cnexp
}

DERIVATIVE state {
	msg' = (msginf - msg)/tau
}

NET_RECEIVE (w(1)) {
  if (flag == 0) { : this is an input event
	if (w>0) { : ignore events with nonpositive weight
		if (msginf==1) {
			msginf = 1 + w
			tau = tau1
			net_send(dur, 1)
		} else {
			net_move(t + dur)			
		}
	}
  } else { : this is a self-event
	msginf = 1
	tau = tau0
  }
  
  	spkcnt = spkcnt +1
}