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Updated Schemas documentation authored by Elbez Hammouda's avatar Elbez Hammouda
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VS2N-MongoDB-schemas.md
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...@@ -24,8 +24,8 @@ A document schema is a JSON object that contains information about the shape, fi ...@@ -24,8 +24,8 @@ A document schema is a JSON object that contains information about the shape, fi
```json ```json
{ {
"properties" : { "properties" : {
"_id" : { "bsonType" : "objectId" }, "_id" : { "bsonType": "objectId" },
"name" : { "bsonType" : "string" } "name" : { "bsonType": "string" }
} }
} }
``` ```
...@@ -35,21 +35,23 @@ A document schema is a JSON object that contains information about the shape, fi ...@@ -35,21 +35,23 @@ A document schema is a JSON object that contains information about the shape, fi
## VS2N documents schemas ## VS2N documents schemas
## 1- General information schemas: ## 1- General information schemas:
**Collection name** : info<br><br>
**Collection content** :<br>
In this collection, there are two schemas, the first one contains information about: In this collection, there are two schemas, the first one contains information about:
- Used dataset - Used dataset.
- Date of simulation - Date of simulation.
- Name of the simulation - Name of the simulation.
- Number of layers - Number of layers.
- Number of neurons per layer - Number of neurons per layer.
```json ```json
{ {
"properties" : { "properties" : {
"_id" : { "bsonType": "objectId" }, // id "_id" : { "bsonType": "objectId" }, // id
"n" : { "bsonType": "string" }, // simulation name "n" : { "bsonType": "string" }, // simulation name
"L:N" : { "<JSON>" }, // layer name : neurons number "L:N" : { "<JSON>" }, // layer name : neuron id
"T" : { "bsonType": "string" }, // simulation date "T" : { "bsonType": "string" }, // simulation date
"D" : { "bsonType": "string" } // dataset name "D" : { "bsonType": "string" } // dataset name
} }
} }
``` ```
...@@ -60,7 +62,7 @@ In this collection, there are two schemas, the first one contains information ab ...@@ -60,7 +62,7 @@ In this collection, there are two schemas, the first one contains information ab
{ {
"_id" : ObjectId("603834c376e245cd78319032"), "_id" : ObjectId("603834c376e245cd78319032"),
"n" : "My network", "n" : "My network",
"L:N" : { "Input" : 784, "layer1" : 100 }, "L:N" : { "Input": 784, "layer1": 100 },
"T" : "26-02-2021-00:37:39", "T" : "26-02-2021-00:37:39",
"D" : "Mnist" "D" : "Mnist"
} }
...@@ -75,8 +77,8 @@ The second one contains optional information, which is collected if there was a ...@@ -75,8 +77,8 @@ The second one contains optional information, which is collected if there was a
{ {
"properties" : { "properties" : {
"_id" : { "bsonType": "objectId" }, // id "_id" : { "bsonType": "objectId" }, // id
"MaxS" : { "bsonType": "string" }, // network accuracy (Max Spike) "MaxS" : { "bsonType": "string" }, // network accuracy (Max Spike)
"NLabel" : { "<Array of JSON>" }, // neurons labels "NLabel" : { "<Array of JSON>" }, // neurons labels
} }
} }
``` ```
...@@ -88,23 +90,120 @@ The second one contains optional information, which is collected if there was a ...@@ -88,23 +90,120 @@ The second one contains optional information, which is collected if there was a
"_id" : ObjectId("60163a04dec986560a8d907a"), "_id" : ObjectId("60163a04dec986560a8d907a"),
"MaxS" : 83.51, "MaxS" : 83.51,
"NLabel" : [ "NLabel" : [
{ "L" : "Layer1", "N" : "13", "Label" : "2" }, { "L": "Layer1", "N": "13", "Label": "2" },
{ "L" : "Layer1", "N" : "99", "Label" : "1" }, { "L": "Layer1", "N": "99", "Label": "1" },
{ "L" : "Layer1", "N" : "97", "Label" : "0" }, { "L": "Layer1", "N": "97", "Label": "0" },
... ...
] ]
} }
``` ```
<div align="center">Example</div> <div align="center">Example</div>
<br>
## 2- Spikes activity schemas: ## 2- Spikes activity schemas:
In this collection, there are two schemas, the first one contains information about: **Collection name** : spikes<br><br>
- Used dataset **Collection content** :<br>
In this collection, we collect every spike activity in the network during training. The collection contains information about:
- Time of spike (μs).
- Label of current input data (if exists).
- Layer name and neuron id.
```json
{
"properties" : {
"_id" : { "bsonType": "objectId" }, // id
"T" : { "bsonType": "NumberLong" }, // time of spike
"i" : { "<JSON>" }, // layer name : neuron id
"Input" : { "bsonType": "string" } // label of current input data (if exists)
}
}
```
<div align="center">Spikes activity schema</div>
<br>
```json
{
"_id" : ObjectId("6015ffc4dec986560a0709e5"),
"T" : NumberLong(30383000),
"i" : { "L": "Layer1", "N": 92 },
"Input" : { "bsonType": "0" }
}
```
<div align="center">Example</div>
<br>
## 3- Neurons membrane potential schemas: ## 3- Neurons membrane potential schemas:
In this collection, there are two schemas, the first one contains information about: **Collection name** : potential<br><br>
- Used dataset **Collection content** :<br>
In this collection, we collect every neuron membrane potential activity in the network during training. The collection contains information about:
- Time of update (μs).
- Layer name.
- Neuron id.
- The new potential value.
```json
{
"properties" : {
"_id" : { "bsonType": "objectId" }, // id
"T" : { "bsonType": "NumberLong" }, // time of update
"L" : { "bsonType": "string" }, // layer name
"N" : { "bsonType": "int" }, // neuron id
"V" : { "bsonType": "double" } // the new potential value
}
}
```
<div align="center">Neurons membrane potential schemas</div>
<br>
```json
{
"_id" : ObjectId("6015ffb7dec986560a06e29d"),
"T" : NumberLong(18027000),
"L" : "Layer1",
"N" : 19,
"V" : 5.675836
}
```
<div align="center">Example</div>
<br>
## 4- Synapses weight activity schemas: ## 4- Synapses weight activity schemas:
In this collection, there are two schemas, the first one contains information about: **Collection name** : synapseWeight<br><br>
- Used dataset **Collection content** :<br>
\ No newline at end of file In this collection, we collect every synapse weight activity in the network during training. The collection contains information about:
- Time of synapse update (μs).
- Source neuron id.
- Destination neuron id.
- Synapse weight value.
- Synapse index coordinates (for heatmap construction).
```json
{
"properties" : {
"_id" : { "bsonType": "objectId" }, // id
"T" : { "bsonType": "NumberLong" }, // time of synapse update
"C" : { "bsonType": "int" }, // destination neuron id
"To" : { "bsonType": "int" }, // source neuron id
"V" : { "bsonType": "double" }, // weight value
"index" : { // index coordinates
"x": { "bsonType": "int" },
"y": { "bsonType": "int" }}
}
}
```
<div align="center">Synapses weight activity schema</div>
<br>
```json
{
"_id" : ObjectId("6015ffefdec986560a078796"),
"T" : NumberLong(66847000),
"C" : 333,
"To" : 0,
"V" : 0.649092,
"index" : { "x": 0, "y": 0 }
}
```
<div align="center">Example</div>
<br>
\ No newline at end of file