Afferent Integration in the NAcb MSP Cell (Wolf et al. 2005)

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Accession:112834
"We describe a computational model of the principal cell in the nucleus accumbens (NAcb), the medium spiny projection (MSP) neuron. The model neuron, constructed in NEURON, includes all of the known ionic currents in these cells and receives synaptic input from simulated spike trains via NMDA, AMPA, and GABAA receptors. ... results suggest that afferent information integration by the NAcb MSP cell may be compromised by pathology in which the NMDA current is altered or modulated, as has been proposed in both schizophrenia and addiction."
Reference:
1 . Wolf JA, Moyer JT, Lazarewicz MT, Contreras D, Benoit-Marand M, O'Donnell P, Finkel LH (2005) NMDA/AMPA ratio impacts state transitions and entrainment to oscillations in a computational model of the nucleus accumbens medium spiny projection neuron. J Neurosci 25:9080-95 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Nucleus accumbens spiny projection neuron;
Channel(s): I Na,p; I Na,t; I L high threshold; I N; I T low threshold; I A; I h; I K,Ca; I Krp; I R; I Q;
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Oscillations; Schizophrenia; Addiction;
Implementer(s): Wolf, John A. [johnwolf at warpmail.net]; Moyer, Jason [jtmoyer at seas.upenn.edu];
Search NeuronDB for information about:  GabaA; AMPA; NMDA; I Na,p; I Na,t; I L high threshold; I N; I T low threshold; I A; I h; I K,Ca; I Krp; I R; I Q;
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nacb_msp
tau_tables
readme.html
AMPA.mod
bkkca.mod *
cadyn.mod *
caL.mod *
caL13.mod *
caldyn.mod
can.mod *
caq.mod *
car.mod *
cat.mod *
GABA.mod *
kaf.mod *
kas.mod *
kir.mod *
krp.mod *
naf.mod *
nap.mod *
NMDA.mod
skkca.mod *
stim.mod *
_run_me.hoc
all_tau_vecs.hoc *
baseline_values.txt *
basic_procs.hoc
create_mspcells.hoc *
current_clamp.ses *
make_netstims.hoc
mosinit.hoc *
msp_template.hoc
nacb_main.hoc
netstims_template.hoc *
screenshot.jpg
screenshot2.jpg
stimxout_jns_sqwave.dat
synapse_templates.hoc
                            
//**************************************************************************
// All_Tau_Vecs loads the tables used to define the taus for channels


objref taum_
objref tauh_
objref vtau_
objref file_

file_ = new File ()

taum_ = new Vector(16,0)
tauh_ = new Vector(16,0)
vtau_ = new Vector(16,0)


sprint(dirstr, "%s/tau_tables/taum_naf.txt", preface)
file_.ropen (dirstr)
taum_.scanf(file_)
file_.close()

sprint(dirstr, "%s/tau_tables/tauh_naf.txt", preface)
file_.ropen (dirstr)
tauh_.scanf(file_)
file_.close()

sprint(dirstr, "%s/tau_tables/vtau_naf.txt", preface)
file_.ropen (dirstr)
vtau_.scanf(file_)
file_.close()

table_taumnaf_naf(taum_,vtau_)
table_tauhnaf_naf(tauh_,vtau_)


//*************************



objref tauh_nap_
objref vtau_nap_
objref file_nap_

file_nap_ = new File ()

tauh_nap_ = new Vector(15,0)
vtau_nap_ = new Vector(15,0)

sprint(dirstr, "%s/tau_tables/tauh_nap.txt", preface)
file_nap_.ropen (dirstr)
tauh_nap_.scanf(file_nap_)
file_nap_.close()

sprint(dirstr, "%s/tau_tables/vtau_nap.txt", preface)
file_nap_.ropen (dirstr)
vtau_nap_.scanf(file_nap_)
file_nap_.close()

table_tauhnap_nap(tauh_nap_,vtau_nap_)



//*************************




objref taum_kir_
objref vtau_kir_
objref file_kir_

file_kir_ = new File ()

taum_kir_ = new Vector(16,0)
vtau_kir_ = new Vector(16,0)

sprint(dirstr, "%s/tau_tables/taum_kir.txt", preface)
file_kir_.ropen (dirstr)
taum_kir_.scanf(file_kir_)
file_kir_.close()

sprint(dirstr, "%s/tau_tables/vtau_kir.txt", preface)
file_kir_.ropen (dirstr)
vtau_kir_.scanf(file_kir_)
file_kir_.close()

table_taumkir_kir(taum_kir_,vtau_kir_)



//*************************



objref taum_krp_
objref tauh_krp_
objref vtau_krp_
objref file_krp_

file_krp_ = new File ()

taum_krp_ = new Vector(31,0)
tauh_krp_ = new Vector(31,0)
vtau_krp_ = new Vector(31,0)

sprint(dirstr, "%s/tau_tables/taum_krp.txt", preface)
file_krp_.ropen (dirstr)
taum_krp_.scanf(file_krp_)
file_krp_.close()

sprint(dirstr, "%s/tau_tables/tauh_krp.txt", preface)
file_krp_.ropen (dirstr)
tauh_krp_.scanf(file_krp_)
file_krp_.close()

sprint(dirstr, "%s/tau_tables/vtau_krp.txt", preface)
file_krp_.ropen (dirstr)
vtau_krp_.scanf(file_krp_)
file_krp_.close()

table_taumkrp_krp(taum_krp_,vtau_krp_)
table_tauhkrp_krp(tauh_krp_,vtau_krp_)



//*************************



objref mtau_kaf_
objref vtau_kaf_
objref file_kaf_

file_kaf_ = new File ()

mtau_kaf_ = new Vector(31,0)
vtau_kaf_ = new Vector(31,0)

sprint(dirstr, "%s/tau_tables/taum_kaf.txt", preface)
file_kaf_.ropen (dirstr)
mtau_kaf_.scanf(file_kaf_)
file_kaf_.close()

sprint(dirstr, "%s/tau_tables/vtau_kaf.txt", preface)
file_kaf_.ropen (dirstr)
vtau_kaf_.scanf(file_kaf_)
file_kaf_.close()

table_mtau_kaf(mtau_kaf_,vtau_kaf_)



//*************************



objref taum_catvec
objref tauh_catvec
objref vtau_catvec
objref file_cat


file_cat = new File ()
taum_catvec = new Vector(30,0)
tauh_catvec = new Vector(30,0)
vtau_catvec = new Vector(30,0)

sprint(dirstr, "%s/tau_tables/taum_cat.txt", preface)
file_cat.ropen (dirstr)
taum_catvec.scanf(file_cat)
file_cat.close()

sprint(dirstr, "%s/tau_tables/tauh_cat.txt", preface)
file_cat.ropen (dirstr)
tauh_catvec.scanf(file_cat)
file_cat.close()

sprint(dirstr, "%s/tau_tables/vtau_cat.txt", preface)
file_cat.ropen (dirstr)
vtau_catvec.scanf(file_cat)
file_cat.close()

table_mtau_cat(taum_catvec, vtau_catvec)
table_htau_cat(tauh_catvec, vtau_catvec)



//*************************


objref tauh_carvec
objref vtau_carvec
objref file_car

file_car = new File ()
tauh_carvec = new Vector(30,0)
vtau_carvec = new Vector(30,0)

sprint(dirstr, "%s/tau_tables/tauh_car.txt", preface)
file_car.ropen (dirstr)
tauh_carvec.scanf(file_car)
file_car.close()

sprint(dirstr, "%s/tau_tables/vtau_car.txt", preface)
file_car.ropen (dirstr)
vtau_carvec.scanf(file_car)
file_car.close()

table_htau_car(tauh_carvec, vtau_carvec)



//**************************************************************************