Commit ff9ca71d authored by Louis Annabi's avatar Louis Annabi
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{
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"Work in progress...\n",
"\n",
"# Itinerant dynamics with the PC-RNN-HC-M model\n",
"\n",
"This notebook provides the necessary source code to simulate itinerant dynamics using a trained PC-RNN-HC-M model. The model is first trained to generate three cyclic patterns using BPTT. We use the Gaussian mixture prior distribution on the hidden causes to randomly switch between the three learned behaviors, we call such dynamics itinerant.\n",
"\n",
"## Model definition"
]
},
{
"cell_type": "markdown",
"id": "f6138c62",
"metadata": {},
"source": [
"## Dataset"
]
},
{
"cell_type": "markdown",
"id": "5fe7e1ed",
"metadata": {},
"source": [
"## Model Training"
]
},
{
"cell_type": "markdown",
"id": "d8dfcae0",
"metadata": {},
"source": [
"## Itinerancy simulation"
]
},
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%% Cell type:markdown id:bdedec35 tags:
Work in progress...
# Itinerant dynamics with the PC-RNN-HC-M model
This notebook provides the necessary source code to simulate itinerant dynamics using a trained PC-RNN-HC-M model. The model is first trained to generate three cyclic patterns using BPTT. We use the Gaussian mixture prior distribution on the hidden causes to randomly switch between the three learned behaviors, we call such dynamics itinerant.
## Model definition
%% Cell type:markdown id:f6138c62 tags:
## Dataset
%% Cell type:markdown id:5fe7e1ed tags:
## Model Training
%% Cell type:markdown id:d8dfcae0 tags:
## Itinerancy simulation
%% Cell type:code id:17c03234 tags:
``` python
```
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