Cortical feedback alters visual response properties of dLGN relay cells (Martínez-Cañada et al 2018)

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Accession:239878
Network model that includes biophysically detailed, single-compartment and multicompartment neuron models of relay-cells and interneurons in the dLGN and a population of orientation-selective layer 6 simple cells, consisting of pyramidal cells (PY). We have considered two different arrangements of synaptic feedback from the ON and OFF zones in the visual cortex to the dLGN: phase-reversed (‘push-pull’) and phase-matched (‘push-push’), as well as different spatial extents of the corticothalamic projection pattern. This project is the result of a research work and its associated publication is: (Martínez-Cañada et al 2018). Installation instructions as well as the latest version can be found in the Github repository: https://github.com/CINPLA/biophysical_thalamocortical_system
Reference:
1 . Martínez-Cañada P, Mobarhan MH, Halnes G, Fyhn M, Morillas C, Pelayo F, Einevoll GT (2018) Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells. PLoS Comput Biol 14:e1005930 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Thalamus;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: LFPy; NEURON; NEST; Python;
Model Concept(s): Vision;
Implementer(s): Martínez-Cañada, Pablo [pablomc at ugr.es];
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Biophysical_thalamocortical_system
cortex_neurons
.README.swp
README *
cadecay.mod *
hh2.mod
IM.mod *
IT.mod *
demo_IN_FS.oc *
demo_PY_LTS.oc *
demo_PY_RS.oc *
mosinit.hoc *
rundemo.hoc *
sIN_template
soma.hoc *
sPY_template
sPYr_template
                            
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�	�	�	�	�	_	0	/	.	!			�������H0/���������|JI32��A@�������rqbaK4����G��q*����~Dhttp://www.neurhttp://www.neuron.yale.edu/phpbb/viewtopic.php?f=28&t=592IT.mod to cnexp as per20120109 updated SOLVE method in cadecay.mod to derivimplicit and IM.mod,rundemo.hocgui is erased with the restart() procedure which was added toof xopen. Lastly, before the gui for each demo is started the previousbe opened once per NEURON launch are now opened via load_file insteadwas replaced by a radio button panel, and any files which should only3 demos to run in the same NEURON process. Thus the original button panelNote: 3/9/2002 Michael Hines made non-substantive changes to allow the7/11/2005 Changes added which removes electrode on subsequent simulations.http://cns.iaf.cnrs-gif.fremail: Destexhe@iaf.cnrs-gif.frFrance91198 Gif-sur-Yvette, Avenue de la Terrasse,CNRS, UNIC (Bat-33), Alain DestexheFor further information, please contact:  http://www.neuro.duke.edu  http://www.neuron.yale.edurefer to the following sites:For more information about how to get NEURON and how to install it, pleaseRun Control window.   Then click on "Init and Run" button to start the simulation..."Simulations of cortical cells" window.  Reposition the windows to find theOnce the menu and graphics interface has appeared, select a simulation from theback to any platform:  by clicking on mosinit.hoc in windows explorer.  Compile the mechanism (mod) files by using mknrndll.  Then start the simulationmswin platform:quit  nrngui mosinit.hoc:qThen, execute the main demo program by typing:given in the mod files.the machine you are using.  Just type "nrnivmodl" to compile the mechanismsTo compile the demo, NEURON and INTERVIEWS must be installed and working onunix platform::qUse autolaunch on modeldb or:  ==========  HOW TO RUN cadecay.mod		: intracellular calcium dynamics IT.mod 		: T-type calcium current IM.mod 		: slow voltage-dependent potassium current (IM) HH2.mod		: fast sodium spikes (Na and K currents)  ==========  MECHANISMSdemo_IN_FS.oc  : fast-spiking interneurondemo_PY_LTS.oc : bursting pyramidal neuron (LTS cell)demo_PY_RS.oc  : regular-spiking pyramidal neuron  ========  and their role in generating spike-and-wave oscillations  and their role in generating spike-and-wave oscillationsLTS cells in cerebral cortexlls in cerebral cortex(see electronic copy at  http://cns.iaf.cnrs-gif.fr)  Neurocomputing 38: 555-563, 2001.  and their role in generating spike-and-wave oscillations.     Destexhe A, Contreras D and Steriade M.  LTS cells in cerebral cortex  thalamic relay cells. J. Neurophysiol. 79: 999-1016, 1998.  synchronizing action of corticothalamic feedback through inhibition of   Destexhe A, Contreras D and Steriade M.  Mechanisms underlying the See also the original paper:  Oxford University Press, 2001  Destexhe A and Sejnowski TJ.  Thalamocortical Assemblies.kinetics of currents are given in:simulate single-compartment models of cortical neurons.  Details of theThe package contains mechanisms (.mod files) and programs (.oc files) needed to  http://www.neuron.yale.eduHines and available on internet at:This package is running with the NEURON simulation program written by Michael                    http://cns.iaf.cnrs-gif.fr                     Destexhe@iaf.cnrs-gif.fr                 91198 Gif-sur-Yvette, France            CNRS, UNIC (Bat-33), Avenue de la Terrasse,                          Alain Destexhe   NEURON DEMO FOR SIMULATING DIFFERENT CLASSES OF CORTICAL NEURONS

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