Different responses of mice and rats hippocampus CA1 pyramidal neurons to in vitro and in vivo-like inputs (vitale et al., 2023)

Reused in 67 other models:

Action potential initiation in the olfactory mitral cell (Shen et al 1999)
- mitral_1999/.DS_Store
Pyramidal neuron coincidence detection tuned by dendritic branching pattern (Schaefer et al 2003)
- BACFiring/.DS_Store
Afferent Integration in the NAcb MSP Cell (Wolf et al. 2005)
- nacb_msp/tau_tables/.DS_Store
Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008)
- KoendgenEtAl2008/mylibs/.DS_Store
- KoendgenEtAl2008/mechanisms/.DS_Store
- KoendgenEtAl2008/result/.DS_Store
NAcc medium spiny neuron: effects of cannabinoid withdrawal (Spiga et al. 2010)
- withdrawal/tau_tables/.DS_Store
Network recruitment to coherent oscillations in a hippocampal model (Stacey et al. 2011)
- Recruitnet/parameters/.DS_Store
- Recruitnet/templates/.DS_Store
Shaping of action potentials by different types of BK channels (Jaffe et al., 2011)
- Figure5/mods/.DS_Store
Engaging distinct oscillatory neocortical circuits (Vierling-Claassen et al. 2010)
- Vierling-ClaassenEtAl2010/confiles/con_2-3-2010-1/.DS_Store
Rhesus Monkey Layer 3 Pyramidal Neurons: V1 vs PFC (Amatrudo, Weaver et al. 2012)
- V1_PFC_ModelDB/.DS_Store
Voltage-based STDP synapse (Clopath et al. 2010)
- modeldb_package/VoTriCode/.DS_Store
State dependent drug binding to sodium channels in the dentate gyrus (Thomas & Petrou 2013)
- ThomasPetrou2013/Fig 2A/.DS_Store
- ThomasPetrou2013/Fig 4/Data/.DS_Store
Multiscale simulation of the striatal medium spiny neuron (Mattioni & Le Novere 2013)
- TimeScales-master/hoc/tau_tables/.DS_Store
Calcium response prediction in the striatal spines depending on input timing (Nakano et al. 2013)
- Nakano_FICN_model/stim_files2/.DS_Store
DBS of a multi-compartment model of subthalamic nucleus projection neurons (Miocinovic et al. 2006)
- MiocinovicEtAl2006/.DS_Store
Voltage and light-sensitive Channelrhodopsin-2 model (ChR2) (Williams et al. 2013)
- WilliamsEtAl2013/.DS_Store
Optical stimulation of a channelrhodopsin-2 positive pyramidal neuron model (Foutz et al 2012)
- FoutzEtAl2012/csv/.DS_Store
- FoutzEtAl2012/geom/.DS_Store
Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)
- ZandtEtAl2014/.DS_Store
- ZandtEtAl2014/network_and_NMM/Skuld_2_2/.DS_Store
- ZandtEtAl2014/network_and_NMM/Urd_v1_2/.DS_Store
- ZandtEtAl2014/network_and_NMM/VerdandiLite_v1_0/VerdandiLite_CPP/.DS_Store
- ZandtEtAl2014/NMM/.DS_Store
Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
- sim_vs_net/rotate_image/output/.DS_Store
Information transmission in cerebellar granule cell models (Rossert et al. 2014)
- AnalyseGranCellRoessertEtAl14/log/.DS_Store
- AnalyseGranCellRoessertEtAl14/publish/openloop/figures/.DS_Store
- AnalyseGranCellRoessertEtAl14/publish/openloop/minimal/.DS_Store
- AnalyseGranCellRoessertEtAl14/publish/openloop/txt/.DS_Store
Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
- KonstantoudakiEtAl2014/bash_templates/.DS_Store
Network models of frequency modulated sweep detection (Skorheim et al. 2014)
- frqswpfinal/.DS_Store
Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014)
- TchumatchenkoClopath2014/.DS_Store
Layer 5 Pyramidal Neuron (Shai et al., 2015)
- ShaiEtAl2015/simulationcode/.DS_Store
Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015)
- prepostSTDP_savings/fromBrian/.DS_Store
Enhancing the HH eqs: simulations based on the first publication in Biophys J (Moore 2015)
- Moore2015/.DS_Store
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
- GCE_ModelDB/.DS_Store
- GCE_ModelDB/Fig3/.DS_Store
- GCE_ModelDB/Fig4/.DS_Store
- GCE_ModelDB/Fig5/.DS_Store
- GCE_ModelDB/Fig7/.DS_Store
LGMD with 3D morphology and active dendrites (Dewell & Gabbiani 2018)
- DewellGabbiani2018/mod_files/.DS_Store
Cerebellum granule cell FHF (Dover et al. 2016)
- GrC_FHF_ModelDB/.DS_Store
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 norm/PSP/.DS_Store
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 norm/V=-64mV/.DS_Store
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 norm/V=-90mV/.DS_Store
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 path/PSP/.DS_Store
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 path/V=-68mV/.DS_Store
- BuchinEtAl2016KCC2/Fig. 1/C/KCC2 path/V=-90mV/.DS_Store
- BuchinEtAl2016KCC2/Fig. 1/D/Data_fit/.DS_Store
- BuchinEtAl2016KCC2/Fig. 2/bif diagram/.DS_Store
- BuchinEtAl2016KCC2/Fig. 2/C/5Hz/.DS_Store
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron/Different frequencies/.DS_Store
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron/Single series/10Hz/.DS_Store
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron/SN_fit/.DS_Store
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron and Net/SN_fit/.DS_Store
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron and Net/Stimulation frequencies/KCC2(+)/.DS_Store
- BuchinEtAl2016KCC2/Fig. 2/C/One neuron and Net/Stimulation frequencies/KCC2(-)/.DS_Store
- BuchinEtAl2016KCC2/Fig. 4/A/.DS_Store
- BuchinEtAl2016KCC2/Fig. 4/B/.DS_Store
- BuchinEtAl2016KCC2/Fig. 4/C/.DS_Store
- BuchinEtAl2016KCC2/Fig. 4/D/.DS_Store
- BuchinEtAl2016KCC2/Fig. 4/simulations/.DS_Store
- BuchinEtAl2016KCC2/Fig. 5/A/.DS_Store
- BuchinEtAl2016KCC2/Fig. 5/B/.DS_Store
- BuchinEtAl2016KCC2/Fig. 5/C/.DS_Store
- BuchinEtAl2016KCC2/Fig. 5/D/.DS_Store
- BuchinEtAl2016KCC2/Fig. 5/Simulations/.DS_Store
- BuchinEtAl2016KCC2/Fig. 6/A/.DS_Store
- BuchinEtAl2016KCC2/Fig. 6/B/.DS_Store
- BuchinEtAl2016KCC2/Fig. 6/C/.DS_Store
- BuchinEtAl2016KCC2/Fig. 6/D/Experiment/.DS_Store
- BuchinEtAl2016KCC2/Fig. 6/D/Model/.DS_Store
- BuchinEtAl2016KCC2/Fig. 7/A/.DS_Store
- BuchinEtAl2016KCC2/Fig. 7/B/.DS_Store
- BuchinEtAl2016KCC2/Fig. 7/C/.DS_Store
- BuchinEtAl2016KCC2/Fig. 7/D/.DS_Store
- BuchinEtAl2016KCC2/Fig. 7/simulations/KCC2%/.DS_Store
- BuchinEtAl2016KCC2/Fig. 8/A/.DS_Store
- BuchinEtAl2016KCC2/Fig. 8/B/.DS_Store
- BuchinEtAl2016KCC2/Fig. 8/C/.DS_Store
- BuchinEtAl2016KCC2/Fig. 8/Simulations/40% run/.DS_Store
Interneuron Specific 3 Interneuron Model (Guet-McCreight et al, 2016)
- Guet-McCreightEtAl2016/S2/.DS_Store
- Guet-McCreightEtAl2016/SD/.DS_Store
- Guet-McCreightEtAl2016/SDprox2/.DS_Store
- Guet-McCreightEtAl2016/S1/.DS_Store
- Guet-McCreightEtAl2016/SDprox1/.DS_Store
Mechanisms underlying different onset patterns of focal seizures (Wang Y et al 2017)
- WangYetAl2017/lib/.DS_Store
Principles governing the operation of synaptic inhibition in dendrites (Gidon & Segev 2012)
- fig1b/.DS_Store
A detailed Purkinje cell model (Masoli et al 2015)
- purkinjecell_2015/.DS_Store
Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018)
- TCR/current_clamp/cells/.DS_Store
Spinal circuits controlling limb coordination and gaits in quadrupeds (Danner et al 2017)
- Danner-et-al-2017/.DS_Store
Electrotonic transform and EPSCs for WT and Q175+/- spiny projection neurons (Goodliffe et al 2018)
- GoodliffeEtAl2018/Syn/.DS_Store
A neuronal circuit simulator for non Monte Carlo analysis of neuronal noise (Kilinc & Demir 2018)
- simulation_scripts/cirsiumNeuron/steady_state_method/.DS_Store
- simulation_scripts/run_scripts/.DS_Store
Voltage- and Branch-specific Climbing Fiber Responses in Purkinje Cells (Zang et al 2018)
- purkinje_pub/mod/.DS_Store
DRG neuron models investigate how ion channel levels regulate firing properties (Zheng et al 2019)
- Deposit/.DS_Store
LFP in striatum (Tanaka & Nakamura 2019)
- modeldb/.DS_Store
Biochemically detailed model of LTP and LTD in a cortical spine (Maki-Marttunen et al 2020)
- synaptic/NEURON/.DS_Store
- synaptic/NeuroRD/.DS_Store
- synaptic/L23PC/.DS_Store
A computational model of single-neuron perturbations (Sadeh and Clopath 2020)
- Codes_SNP/.DS_Store
NMDA receptors enhance the fidelity of synaptic integration (Li and Gulledge 2021)
- nmda_models/Figure_6_CA3/.DS_Store
- nmda_models/Figure_4_and_5_modified conductances/.DS_Store
- nmda_models/Figure_7_variable_gAMPA/.DS_Store
- nmda_models/Figure_6_DGC/.DS_Store
A general model of hippocampal and dorsal striatal learning and decision making (Geerts et al 2020)
- hippocampus-dls/data/.DS_Store
- hippocampus-dls/hippocampus/analysis/.DS_Store
- hippocampus-dls/hippocampus/experiments/.DS_Store
- hippocampus-dls/hippocampus/auxiliary/.DS_Store
Multiplexed coding in Purkinje neuron dendrites (Zang and De Schutter 2021)
- purkinje_pf_source_code/mod/.DS_Store
Sound-evoked activity in peripheral axons of type I spiral ganglion neurons (Budak et al. 2021)
- HHL_myelinopathy_CAPgeneration/.DS_Store
CA3 hippocampal pyramidal neuron with voltage-clamp intrinsic conductance data (Traub et al 1991)
- TraubFigs_modelDB/Traub_Figures/TraubFigure5/.DS_Store
- TraubFigs_modelDB/Traub_Figures/TraubFigure4/.DS_Store
- TraubFigs_modelDB/Traub_Figures/TraubFigure3/.DS_Store
- TraubFigs_modelDB/Traub_Figures/TraubFigure6/.DS_Store
- TraubFigs_modelDB/Traub_Figures/TraubFigure8/.DS_Store
- TraubFigs_modelDB/Traub_Figures/TraubFigure9/.DS_Store
- TraubFigs_modelDB/Traub_Figures/TraubFigure7/.DS_Store
- TraubFigs_modelDB/Traub_Figures/TraubFigure10/.DS_Store
E-I balance modulates formation and dynamics of neuronal assemblies (Sadeh and Clopath, 2021)
- Induction_Regimes/Induction_1/.DS_Store
Efficient simulation of 3D reaction-diffusion in models of neurons (McDougal et al, 2022)
- code/.DS_Store
Switching circuit for optimal context integration during static + moving contexts (Voina et al 2022)
- repository_project1/.DS_Store
Active intrinsic conductances in networks, transients, activity, plasticity (Akosy and Shouval 2021)
- ModelDB_small/.DS_Store
HH model of SCN neurons including a transient K+ channel (Bano-Otalora et al 2021)
- ModelDB_Bano-Otalora_and_Moye_etal_2021_eLife/.DS_Store
Mouse Episodic and Continuous Locomotion CPG (Sharples et al, 2022)
- MouseLocomotionCPG/SingleCell/.DS_Store
- MouseLocomotionCPG/ReducedSingleCell/.DS_Store
- MouseLocomotionCPG/EpisodicHCO/.DS_Store
Distributed working memory in large-scale macaque brain model (Mejias and Wang, 2022)
- ModelDB/Figure2/.DS_Store
- ModelDB/Figure3/.DS_Store
- ModelDB/Figure4/.DS_Store
- ModelDB/Figure8/.DS_Store
- ModelDB/Figure7/fig7ab/.DS_Store
- ModelDB/Figure7/fig7c/.DS_Store
MEC PV-positive fast-spiking interneuron network generates theta-nested fast oscillations
- Archive/RatesFig8/.DS_Store
- Archive/RatesFig7/.DS_Store
- Archive/output/.DS_Store
- Archive/Figures/.DS_Store
- Archive/params/intrinsic/active/.DS_Store
- Archive/params/chem_syns/conn_mat/p036/.DS_Store
- Archive/params/chem_syns/delays/p036/.DS_Store
- Archive/params/chem_syns/gms/p036/polynomial/.DS_Store
- Archive/params/intrinsic/passive/ELs/mod_gL/sigma04_higg12/gLmin15/.DS_Store
Exact mean-field models for Izhikevich networks (Chen and Campbell 2022)
- Code_IzhikevichNetwork_MF_ModelDB/1pop_TimeSeries_MATLAB/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/2pop_TimeSeries_MATLAB/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure5/Figure5a/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure5/Figure5b/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure5/Figure5d/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure5/Figure5c/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure2/mu0.18PO-PO/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure2/mu0.07EP-PO/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure3/Figure3d/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure3/Figure3c/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure3/Figure3a/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure6/Figure6a/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure6/Figure6b/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure7/Exp1_rnd_N4/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure7/Exp2_rnd_N4/.DS_Store
- Code_IzhikevichNetwork_MF_ModelDB/Figure7/Exp3_deter_N4/.DS_Store
A 3D population model of midget retinal ganglion cells at the human fovea (Italiano et al, 2022)
- mRGC_population_model_human_fovea_Italiano_2022/RGC/.DS_Store
- mRGC_population_model_human_fovea_Italiano_2022/RGC-fovea/primate_cell_generator/.DS_Store
- mRGC_population_model_human_fovea_Italiano_2022/RGC-fovea/helpers/.DS_Store
Model for pusatile insulin secretion at basal levels of glucose (Fletcher et al, 2022)
- Physiology_22/.DS_Store
Simulations of Reaching Adaptation and Control (Crevecoeur et al., 2022)
- forceCues/.DS_Store
Human L5 Cortical Circuit (Guet-McCreight)
- HumanL5Circuit_AGM2022-main/L5Circuit/default_circuit/models/.DS_Store
- HumanL5Circuit_AGM2022-main/L5Circuit/heterogeneous_circuit/models/.DS_Store
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_old/morphologies/.DS_Store
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_young/morphologies/.DS_Store
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Current-Step Simulations/L5Pyr_young/simdata/.DS_Store
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_old_AltMorph_Scinet/experimental_data/.DS_Store
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Optimizations/L5Pyr_young_AltMorph_Scinet/experimental_data/.DS_Store
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/PSP Simulations/models/.DS_Store
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/PSP Simulations/morphologies/.DS_Store
- HumanL5Circuit_AGM2022-main/Single Cell Modelling/Population Analysis/Morph2/modfiles/.DS_Store
LGMD - ON excitation to dendritic field C
- eLife 2022 modelDB/data/.DS_Store
- eLife 2022 modelDB/mods/.DS_Store
LP neuron model database (Zang and Marder 2023)
- code_pub/1292/mod/.DS_Store
The STN-GPe network; subthalamic nucleus, prototypic GPe, and arkypallidal GPe neurons (Kitano 2023)
- STN-GPe/.DS_Store
A computational model for fast skeletal muscle (Kim and Heckman, accepted)
- supplemental_data_s1/.DS_Store
Multiscale model of primary motor cortex circuits predicts in vivo dynamics (Dura-Bernal et al 2023)
- M1_modeldb/analysis/UMAP_analysis_code/Figure5/Data_Control/.DS_Store
- M1_modeldb/analysis/UMAP_analysis_code/Figure5/Data_NoradrenalineBlock/.DS_Store
- M1_modeldb/analysis/UMAP_analysis_code/Figure5/Data_MotorThalamusInactivation/.DS_Store
- M1_modeldb/analysis/UMAP_analysis_code/Figure6/DataBatch30/.DS_Store
- M1_modeldb/analysis/UMAP_analysis_code/Figure3/Cell-level/Data_Control/.DS_Store
- M1_modeldb/analysis/UMAP_analysis_code/Figure3/Population-level/Data_MotorThalamusInactivation/.DS_Store
- M1_modeldb/analysis/UMAP_analysis_code/Figure3/Population-level/Data_NoradrenalineBlock/.DS_Store
- M1_modeldb/analysis/UMAP_analysis_code/Figure3/Population-level/Data_Control/.DS_Store
- M1_modeldb/analysis/UMAP_analysis_code/SuppFig2/Data_Control/.DS_Store
- M1_modeldb/analysis/UMAP_analysis_code/SuppFig2/Data_MotorThalamusInactivation/.DS_Store
- M1_modeldb/analysis/UMAP_analysis_code/SuppFig2/Data_NoradrenalineBlock/.DS_Store
- M1_modeldb/analysis/UMAP_analysis_code/SuppFig1/Data_Control/.DS_Store
- M1_modeldb/sim/conn/.DS_Store
- M1_modeldb/sim/cells/.DS_Store
M-current in a collision detection neuron (LGMD model) (Dewell & Gabbiani 2018)
- DG-2018b-MDB/data/.DS_Store
D1-MSN: The effect of EAAC1 on firing frequency (Petroccione et al., 2023)
- Neuron Code for Paper/Ball and Stick/Two Inputs/tau_tables/.DS_Store
- Neuron Code for Paper/Ball and Stick/Setting Inputs/tau_tables/.DS_Store
- Neuron Code for Paper/Ball and Stick/E-I_frequency/tau_tables/.DS_Store
- Neuron Code for Paper/Realistic Morphology/E-I_Frequency/tau_tables/.DS_Store

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