Analysis_HL23Net_1.0.net.nml.md 6.8 KB
Analysis of NeuroML network: HL23Net_1.0.net.nml
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* NeuroMLDocument: HL23Network
*
* Network: HL23Network (temperature: 34.0 degC)
*
* 1000 cells in 4 populations
* Population: HL23PV_pop with 70 components of type HL23PV_sim
* Locations: [(-65.3901, -116.9935, -946.9911), ...]
* Properties: color=0 0 1; region=L23;
* Population: HL23PYR_pop with 800 components of type HL23PYR_sim
* Locations: [(-221.2233, 84.1923, -841.4886), ...]
* Properties: color=1 0 0; region=L23;
* Population: HL23SST_pop with 50 components of type HL23SST_sim
* Locations: [(106.3510, -214.9518, -645.5753), ...]
* Properties: color=0 1 0; region=L23;
* Population: HL23VIP_pop with 80 components of type HL23VIP_sim
* Locations: [(155.2388, 108.4729, -620.4400), ...]
* Properties: color=0.5 0.5 0.5; region=L23;
*
* 657373 connections in 15 projections
* Projection: proj_HL23PV_HL23PV from HL23PV_pop to HL23PV_pop, synapse: HL23PV_HL23PV_ProbUDFsyn
* 26175 connections (wd): [(Connection 0: 58 -> 0:1849(0.66739), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23PV_HL23PYR from HL23PV_pop to HL23PYR_pop, synapse: HL23PV_HL23PYR_ProbUDFsyn
* 89216 connections (wd): [(Connection 0: 19 -> 0:511(0.75109), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23PV_HL23SST from HL23PV_pop to HL23SST_pop, synapse: HL23PV_HL23SST_ProbUDFsyn
* 2896 connections (wd): [(Connection 0: 24 -> 0:1673(0.96233), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23PV_HL23VIP from HL23PV_pop to HL23VIP_pop, synapse: HL23PV_HL23VIP_ProbUDFsyn
* 1295 connections (wd): [(Connection 0: 67 -> 0:488(0.94546), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23PYR_HL23PV from HL23PYR_pop to HL23PV_pop, synapse: HL23PYR_HL23PV_ProbAMPANMDA
* 41360 connections (wd): [(Connection 0: 668 -> 0:1082(0.66018), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23PYR_HL23PYR from HL23PYR_pop to HL23PYR_pop, synapse: HL23PYR_HL23PYR_ProbAMPANMDA
* 287706 connections (wd): [(Connection 0: 536 -> 0:440(0.77943), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23PYR_HL23SST from HL23PYR_pop to HL23SST_pop, synapse: HL23PYR_HL23SST_ProbAMPANMDA
* 61952 connections (wd): [(Connection 0: 536 -> 0:402(0.07810), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23PYR_HL23VIP from HL23PYR_pop to HL23VIP_pop, synapse: HL23PYR_HL23VIP_ProbAMPANMDA
* 23592 connections (wd): [(Connection 0: 67 -> 0:2921(0.61882), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23SST_HL23PV from HL23SST_pop to HL23PV_pop, synapse: HL23SST_HL23PV_ProbUDFsyn
* 8632 connections (wd): [(Connection 0: 32 -> 0:2144(0.11526), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23SST_HL23PYR from HL23SST_pop to HL23PYR_pop, synapse: HL23SST_HL23PYR_ProbUDFsyn
* 90708 connections (wd): [(Connection 0: 32 -> 0:5796(0.61404), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23SST_HL23SST from HL23SST_pop to HL23SST_pop, synapse: HL23SST_HL23SST_ProbUDFsyn
* 1236 connections (wd): [(Connection 0: 37 -> 0:1794(0.96906), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23SST_HL23VIP from HL23SST_pop to HL23VIP_pop, synapse: HL23SST_HL23VIP_ProbUDFsyn
* 1225 connections (wd): [(Connection 0: 12 -> 0:1601(0.48278), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23VIP_HL23PV from HL23VIP_pop to HL23PV_pop, synapse: HL23VIP_HL23PV_ProbUDFsyn
* 6248 connections (wd): [(Connection 0: 34 -> 0:405(0.52838), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23VIP_HL23SST from HL23VIP_pop to HL23SST_pop, synapse: HL23VIP_HL23SST_ProbUDFsyn
* 12780 connections (wd): [(Connection 0: 59 -> 0:1557(0.58502), weight: 1.000000, delay: 0.50000 ms), ...]
* Projection: proj_HL23VIP_HL23VIP from HL23VIP_pop to HL23VIP_pop, synapse: HL23VIP_HL23VIP_ProbUDFsyn
* 2352 connections (wd): [(Connection 0: 74 -> 0:2593(0.02680), weight: 1.000000, delay: 0.50000 ms), ...]
*
* 48650 inputs in 8 input lists
* Input list: Gfluct_0 to HL23PYR_pop, component Gfluct_HL23PYR_0_5
* 14400 inputs: [(Input 0: 0:905(0.885115)), ...]
* Input list: Gfluct_1 to HL23PYR_pop, component Gfluct_HL23PYR_0_1
* 7200 inputs: [(Input 14400: 0:5626(0.943140)), ...]
* Input list: Gfluct_2 to HL23PYR_pop, component Gfluct_HL23PYR_0_3
* 8800 inputs: [(Input 21600: 0:2316(0.982179)), ...]
* Input list: Gfluct_3 to HL23PYR_pop, component Gfluct_HL23PYR_0_7
* 9600 inputs: [(Input 30400: 0:3938(0.516208)), ...]
* Input list: Gfluct_4 to HL23PYR_pop, component Gfluct_HL23PYR_0_9
* 5600 inputs: [(Input 40000: 0:2813(0.971706)), ...]
* Input list: Gfluct_5 to HL23SST_pop, component Gfluct_HL23SST_0_5
* 1000 inputs: [(Input 45600: 0:2955(0.992364)), ...]
* Input list: Gfluct_6 to HL23PV_pop, component Gfluct_HL23PV_0_5
* 770 inputs: [(Input 46600: 0:1836(0.991165)), ...]
* Input list: Gfluct_7 to HL23VIP_pop, component Gfluct_HL23VIP_0_5
* 1280 inputs: [(Input 47370: 0:1218(0.981438)), ...]
*
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Chemical conns (avg weight per existant conn)
[[1. 1. 1. 1.]
[1. 1. 1. 1.]
[1. 1. 1. 1.]
[1. 0. 1. 1.]]
Chemical conns (number of conns)
[[ 26175. 89216. 2896. 1295.]
[ 41360. 287706. 61952. 23592.]
[ 8632. 90708. 1236. 1225.]
[ 6248. 0. 12780. 2352.]]
Chemical conns (sum of signed weights of conns)
[[ 26175. 89216. 2896. 1295.]
[ 41360. 287706. 61952. 23592.]
[ 8632. 90708. 1236. 1225.]
[ 6248. 0. 12780. 2352.]]
Chemical conns ((sum of weights)*cond/postpopsize)
[[ 373.92857143 111.52 57.92 16.1875 ]
[ 590.85714286 359.6325 1239.04 294.9 ]
[ 123.31428571 113.385 24.72 15.3125 ]
[ 89.25714286 0. 255.6 29.4 ]]
Chemical conns ((sum of signed weights)*cond/postpopsize)
[[ 373.92857143 111.52 57.92 16.1875 ]
[ 590.85714286 359.6325 1239.04 294.9 ]
[ 123.31428571 113.385 24.72 15.3125 ]
[ 89.25714286 0. 255.6 29.4 ]]