Molecular layer interneurons in cerebellum encode valence in associative learning (Ma et al 2020)

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Accession:266578
We used two-photon microscopy to study the role of ensembles of cerebellar molecular layer interneurons (MLIs) in a go-no go task where mice obtain a sugar water reward. In order to begin understanding the circuit basis of our findings in changes in lick behavior with chemogenetics in the go-no go associative learning olfactory discrimination task we generated a simple computational model of MLI interaction with PCs.
Reference:
1 . Ma M, Futia GL, De Souza FM, Ozbay BN, Llano I, Gibson EA, Restrepo D (2020) Molecular layer interneurons in the cerebellum encode for valence in associative learning Nature Communications, accepted
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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;
Brain Region(s)/Organism: Cerebellum; Mouse;
Cell Type(s): Cerebellum Purkinje GABA cell; Cerebellum interneuron stellate GABA cell;
Channel(s):
Gap Junctions:
Receptor(s): AMPA; GabaA;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Action Potentials; Detailed Neuronal Models;
Implementer(s): Simoes-de-Souza, Fabio [fabio.souza at ufabc.edu.br];
Search NeuronDB for information about:  Cerebellum Purkinje GABA cell; Cerebellum interneuron stellate GABA cell; GabaA; AMPA; Gaba; Glutamate;
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MaEtAl2020
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: Ca diffusion in a Purkinje cell
: FORREST MD (2014) Two Compartment Model of the Cerebellar Purkinje Neuron

NEURON {
       SUFFIX cadiff
       USEION ca READ ica, cai WRITE cai
       RANGE ca
       GLOBAL depth, beta
}

UNITS {
      (mV) = (millivolt)
      (mA) = (milliamp)
      (mM) = (milli/liter)
      (um) = (micron)
}

CONSTANT {
      F = 9.6485e4 (coul)
}

PARAMETER {
          cai      (mM)
          dt       (ms)

          depth  = .1  (um)
          beta = 1 (/ms)
}

ASSIGNED {
         ica       (mA/cm2)
}

STATE {
      ca           (mM)
}

INITIAL {
        ca = .0001
}

BREAKPOINT {
        ca = ca + (10000) * dt * ( ( -1/(2*F)*ica / (depth)) - (.0001) * beta * ca )

        if ( ca < 1e-4 ) {: minimum 100 nM Ca
           ca = 1e-4
        }

        cai = ca
}