An electrophysiological model of GABAergic double bouquet cells (Chrysanthidis et al. 2019)

 Download zip file 
Help downloading and running models
Accession:257610
We present an electrophysiological model of double bouquet cells (DBCs) and integrate them into an established cortical columnar microcircuit model that implements a BCPNN (Bayesian Confidence Propagation Neural Network) learning rule. The proposed architecture effectively solves the problem of duplexed learning of inhibition and excitation by replacing recurrent inhibition between pyramidal cells in functional columns of different stimulus selectivity with a plastic disynaptic pathway. The introduction of DBCs improves the biological plausibility of our model, without affecting the model's spiking activity, basic operation, and learning abilities.
Reference:
1 . Chrysanthidis N, Fiebig F, Lansner A (2019) Introducing double bouquet cells into a modular cortical associative memory model Journal of Computational Neuroscience
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Neocortex U1 interneuron basket PV GABA cell; Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell; Abstract integrate-and-fire adaptive exponential (AdEx) neuron; Neocortex layer 2-3 interneuron; Neocortex bitufted interneuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEST;
Model Concept(s): Learning;
Implementer(s): Chrysanthidis, Nikolaos [nchr at kth.se]; Fiebig, Florian [fiebig at kth.se]; Lansner, Anders [ala at kth.se];
Search NeuronDB for information about:  Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell; Neocortex U1 interneuron basket PV GABA cell; 
#!/bin/bash -l
# The name of the script is myjob
#SBATCH -J bcpnn_test_job

# Only 1 hour wall-clock time will be given to this job
#SBATCH -t 0:10:00

# Number of MPI tasks.
# always ask for complete nodes (i.e. mppwidth should normally
# be a multiple of 20)
#SBATCH -n 20

#SBATCH -e error_file.e
#SBATCH -o output_file.o


#load the nest module
module swap PrgEnv-cray PrgEnv-gnu
module add nest

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/cfs/milner/scratch/b/bkaplan/BCPNN-Module/build-module-100725
export PYTHONPATH=/pdc/vol/nest/2.2.2/lib/python2.7/site-packages:/pdc/vol/python/2.7.6-gnu/lib/python2.7/site-packages

echo "Starting test 1 at `date`"
# Run and write the output into my_output_file
aprun -n 20 python test_installation_milner.py > delme_test_installation 2>&1
echo "Stopping test 1 at `date`"

echo "Starting test 2 at `date`"
aprun -n 20 python test_installation_milner.py > delme_test_connect 2>&1
echo "Stopping test 2 at `date`"