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

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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
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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;
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ChrysanthidisEtAl2019
BCPNN_NEST_Module
bootstrap-module-100725
autom4te.cache
libltdl
module-100725
sli
aclocal.m4 *
aeif_cond_exp_multisynapse.cpp *
aeif_cond_exp_multisynapse.h *
bcpnn_connection.cpp *
bcpnn_connection.h *
bcpnn_connection_backup.cpp *
bcpnn_connection_backup.h *
bootstrap.sh *
compile *
config.guess *
config.sub *
configure *
configure.ac *
depcomp *
iaf_cond_alpha_bias.cpp *
iaf_cond_alpha_bias.h *
iaf_cond_exp_bias.cpp *
iaf_cond_exp_bias.h *
install-sh *
ltmain.sh *
Makefile.am *
Makefile.in
missing *
pt_module.cpp *
pt_module.h *
pt_module_config.h.in *
pt_module_names.cpp *
pt_module_names.h *
                            
#!/bin/sh

echo "Bootstrapping MyModule"

if test -d autom4te.cache ; then
# we must remove this cache, because it
# may screw up things if configure is run for
# different platforms.
  echo "  -> Removing old automake cache ..."
  rm -rf autom4te.cache
fi

echo "  -> Running aclocal ..."
aclocal

echo "  -> Running libtoolize ..."
if [ `uname -s` = Darwin ] ; then
# libtoolize is glibtoolize on OSX
  LIBTOOLIZE=glibtoolize
else
  LIBTOOLIZE=libtoolize
fi

libtool_major=`$LIBTOOLIZE --version | head -n1 | cut -d\) -f2 | cut -d\. -f1`
$LIBTOOLIZE --force --copy --ltdl

echo "  -> Re-running aclocal ..."
if test $libtool_major -le 2; then
  aclocal --force
else
  aclocal --force -I $(pwd)/libltdl/m4
fi

echo "  -> Running autoconf ..."
autoconf

# autoheader must run before automake
echo "  -> Running autoheader ..."
autoheader

echo "  -> Running automake ..."
automake --foreign --add-missing --force-missing --copy

echo "Done."