| ... | @@ -35,19 +35,21 @@ A document schema is a JSON object that contains information about the shape, fi |
... | @@ -35,19 +35,21 @@ 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
|
|
|
}
|
|
}
|
| ... | @@ -96,15 +98,112 @@ The second one contains optional information, which is collected if there was a |
... | @@ -96,15 +98,112 @@ The second one contains optional information, which is collected if there was a |
|
|
}
|
|
}
|
|
|
```
|
|
```
|
|
|
<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 |