Reconstructed neuron (cerebellar, hippocampal, striatal) sims using predicted diameters (Reed et al)

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Accession:267048
Many neuron morphologies in NeuroMorpho.org do not contain accurate dendritic diameters that are needed for simulations. We used a set of archives which did have realistic morphologies to derive equations predicting dendritic diameter, and to create morphologies using the predictions. The equations and new morphologies are derived by 1. extracting morphology features from swc files (morph_feature_extract.py) 2. using multiple regression to derive equations predicting diameter, (morph_feature_extract.py ) 3. using the equations to create the new morphology files from original swc file (shape_shifter.py). The python programs are all available from github.com/neurord/ShapeShifter We simulated the original morphologies and the morphologies with predicted diameter in Moose, evaluating the response to current injection and synaptic input. The code provided implements those simulations
Reference:
1 . Reed JD, Blackwell KT (2021) Prediction of Neural Diameter From Morphology to Enable Accurate Simulation. Front Neuroinform 15:666695 [PubMed]
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:
Cell Type(s): Hippocampus CA1 pyramidal GLU cell; Cerebellum Purkinje GABA cell; Striatal projection neuron;
Channel(s):
Gap Junctions:
Receptor(s): AMPA;
Gene(s):
Transmitter(s):
Simulation Environment: MOOSE/PyMOOSE;
Model Concept(s):
Implementer(s): Blackwell, Avrama [avrama at gmu.edu]; Reed, Jonathon;
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; Cerebellum Purkinje GABA cell; AMPA;
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1067_3 1066_3 47.74 128.32 6.0 1.0
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1072_3 1071_3 52.87 142.28 9.0 1.0
1073_3 1072_3 52.99 144.9 9.0 1.0
1074_3 1073_3 54.87 148.87 9.0 1.0
1075_3 1057_3 42.24 126.74 6.0 1.0
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1078_3 1077_3 41.96 142.06 7.0 1.0
1079_3 1078_3 42.34 145.59 8.0 1.0
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1081_3 1080_3 47.52 152.39 7.0 1.0
1082_3 1081_3 50.5 155.09 7.0 1.0
1083_3 1055_3 39.1 129.05 8.0 1.0
1084_3 1083_3 39.58 126.97 8.0 1.0
1085_3 1084_3 38.57 124.22 6.0 1.0
1086_3 1085_3 37.72 122.57 6.0 1.0
1087_3 1086_3 36.99 120.01 7.0 1.0
1088_3 1087_3 34.87 117.53 6.0 1.0
1089_3 1039_3 24.44 112.64 6.0 1.0
1090_3 1089_3 28.57 111.85 5.0 1.0
1091_3 1090_3 30.86 112.94 4.0 1.0
1092_3 1089_3 25.61 114.32 6.0 1.0
1093_3 1092_3 27.71 116.64 6.0 1.0
1094_3 1093_3 31.74 120.81 7.0 1.0
1095_3 1094_3 34.16 122.13 7.0 1.0
1096_3 1095_3 35.43 123.23 7.0 1.0
1097_3 1027_3 11.95 107.97 6.0 1.0
1098_3 1097_3 11.91 109.56 6.0 1.0
1099_3 1098_3 12.61 110.67 7.0 1.0
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1107_3 1106_3 16.3 117.77 7.0 1.0
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1109_3 1108_3 19.07 120.53 7.0 1.0
1110_3 1109_3 20.4 123.48 7.0 1.0
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1113_3 1112_3 22.1 129.87 8.0 1.0
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1125_3 1124_3 2.18 86.65 6.0 1.0
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1127_3 1126_3 6.65 87.69 5.0 1.0
1128_3 1127_3 9.45 88.66 5.0 1.0
1129_3 1128_3 11.01 88.49 5.0 1.0
1130_3 1129_3 12.86 87.91 5.5 1.0
1131_3 1130_3 14.7 87.33 6.0 1.0
1132_3 1131_3 16.51 84.04 6.0 1.0
1133_3 1131_3 18.0 87.3 5.0 1.0
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1664_3 1643_3 50.72 30.18 -3.0 1.0
1665_3 1664_3 50.98 28.01 -3.0 1.0
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1675_3 1674_3 42.98 17.43 -3.0 1.0
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1685_3 1684_3 60.9 19.78 -4.0 1.0
1686_3 1685_3 62.04 20.04 -3.0 1.0
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1689_3 1688_3 72.04 21.9 -3.0 1.0
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1702_3 1686_3 65.37 14.69 -3.0 1.0
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1709_3 1708_3 39.56 25.24 -3.0 1.0
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1715_3 1714_3 42.35 28.6 -2.0 1.0
1716_3 1715_3 40.22 29.57 -2.0 1.0

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