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Schemas document updated
authored
May 06, 2021
by
Elbez Hammouda
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VS2N-MongoDB-schemas.md
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@@ -79,7 +79,11 @@ The second one contains optional information, which is collected if there was a
"properties"
:
{
"_id"
:
{
"bsonType"
:
"objectId"
},
//
id
"MaxS"
:
{
"bsonType"
:
"string"
},
//
network
accuracy
(Max
Spike)
"NLabel"
:
{
"<Array of JSON>"
},
//
neurons
labels
"NLabel"
:
[{
//
neurons
labels
"L"
:
{
"bsonType"
:
"string"
},
"N"
:
{
"bsonType"
:
"int"
},
"Label"
:
{
"bsonType"
:
"int"
}
}]
}
}
```
...
...
@@ -116,7 +120,7 @@ In this collection, we collect every spike activity in the network during traini
"T"
:
{
"bsonType"
:
"NumberLong"
},
//
time
of
spike
"i"
:
{
//
layer
name
:
neuron
id
"L"
:
{
"bsonType"
:
"string"
},
"N"
:
{
"bsonType"
:
"int"
}
"N"
:
{
"bsonType"
:
"int"
}
},
"Input"
:
{
"bsonType"
:
"int"
}
//
label
of
current
input
data
(if
it
exists)
}
...
...
@@ -151,7 +155,7 @@ In this collection, we collect every neuron membrane potential activity in the n
"_id"
:
{
"bsonType"
:
"objectId"
},
//
id
"T"
:
{
"bsonType"
:
"NumberLong"
},
//
time
of
update
"L"
:
{
"bsonType"
:
"string"
},
//
layer
name
"N"
:
{
"bsonType"
:
"int"
},
//
neuron
id
"N"
:
{
"bsonType"
:
"int"
},
//
neuron
id
"V"
:
{
"bsonType"
:
"double"
}
//
the
new
potential
value
}
}
...
...
@@ -187,12 +191,13 @@ In this collection, we collect every synapse weight activity in the network duri
"properties"
:
{
"_id"
:
{
"bsonType"
:
"objectId"
},
//
id
"T"
:
{
"bsonType"
:
"NumberLong"
},
//
time
of
synapse
update
"C"
:
{
"bsonType"
:
"int"
},
//
destination
neuron
id
"To"
:
{
"bsonType"
:
"int"
},
//
source
neuron
id
"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"
}}
"x"
:
{
"bsonType"
:
"int"
},
"y"
:
{
"bsonType"
:
"int"
}
}
}
}
```
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