MultiAreaEI
Description
This class is a child class of MultiArea. It will generate a multi-area RNN with E/I constraints. Therefore, by default, the input/hidden/readout masks are signed masks. Use cautious as it will change the sign of the weights.
Parameters
Inherited Parameters
This class inherits all parameters from MultiArea. See MultiArea for more details.
Other Parameters
| Parameter | Default | Type | Description |
|---|---|---|---|
| ext_pct | 0.8 | float |
Percentage of excitatory neurons |
| inter_area_connections | [True, True, True, True] | list (of booleans) |
Allows for what type of inter-area connections. inter_area_connections must be a boolean list of 4 elements, denoting whether ‘exc-exc’, ‘exc-inh’, ‘inh-exc’, and ‘inh-inh’ connections are allowed between areas. see inter-area connections under EI constraints. |
| inh_readout | True | boolean |
Whether to readout inhibitory neurons |
Inter-Area Connections Under EI Constraints
Depending on the specific problem you are investigating on, it is possible that you want to eliminate inhibitory connections between areas. Or, you might not want excitatory neurons to connect to inhibitory neurons in other areas. See figure below for different cases of inter-area connections under EI constraints.
To specify what kinds of inter-area connections you want to keep, simple pass a 4-element boolean list to inter_area_connections. The 4 elements denotes whether to keep inter-area ‘exc-exc’, ‘exc-inh’, ‘inh-exc’, and ‘inh-inh’ connections.