Changes
Page history
Typos correction
authored
Mar 11, 2022
by
Elbez Hammouda
Show whitespace changes
Inline
Side-by-side
VS2N-MongoDB-schemas.md
View page @
0cd50566
...
...
@@ -109,7 +109,7 @@ The second one contains optional information, which is collected if there was a
<div
align=
"center"
>
Example
</div>
<br>
## 2- Spikes activity schema
s
:
## 2- Spikes activity schema:
**Collection name**
: spikes
<br><br>
**Collection content**
:
<br>
In this collection, we collect every spike activity in the network during training. The collection contains information about:
...
...
@@ -144,7 +144,7 @@ In this collection, we collect every spike activity in the network during traini
<div
align=
"center"
>
Example
</div>
<br>
## 3- Neurons membrane potential schema
s
:
## 3- Neurons membrane potential schema:
**Collection name**
: potential
<br><br>
**Collection content**
:
<br>
In this collection, we collect every neuron membrane potential activity in the network during training. The collection contains information about:
...
...
@@ -164,7 +164,7 @@ In this collection, we collect every neuron membrane potential activity in the n
}
}
```
<div
align=
"center"
>
Neurons membrane potential schema
s
</div>
<div
align=
"center"
>
Neurons membrane potential schema
</div>
<br>
...
...
@@ -180,7 +180,7 @@ In this collection, we collect every neuron membrane potential activity in the n
<div
align=
"center"
>
Example
</div>
<br>
## 4- Synapses weight activity schema
s
:
## 4- Synapses weight activity schema:
**Collection name**
: synapseWeight
<br><br>
**Collection content**
:
<br>
In this collection, we collect every synapse weight activity in the network during training. The collection contains information about:
...
...
@@ -221,7 +221,7 @@ In this collection, we collect every synapse weight activity in the network duri
<div
align=
"center"
>
Example
</div>
<br>
## 5- Labels activity schema
s
(optional):
## 5- Labels activity schema (optional):
**Collection name**
: labels
<br><br>
**Collection content**
:
<br>
In this collection, we collect every input label in the network during training (if it exists). The collection contains information about:
...
...
@@ -238,7 +238,7 @@ In this collection, we collect every input label in the network during training
"G"
:
{
"bsonType"
:
"int"
},
//
value
of
total
inputs
already
introduced
}
```
<div
align=
"center"
>
Labels activity schema
s
</div>
<div
align=
"center"
>
Labels activity schema
</div>
<br>
```
json
...
...
...
...