NengoSPA Models for ICCM 2025 paper on Neural Specificity To better understand the below, read paper here: TO BE POSTED SOON!
The control model was gonogo_10n_decision.py, wherein all states had 10 neurons per dimension.
The NPR model was gonogo_5n_decision.py, wherein all states had 5 neurons per dimension.
The RLR model was gonogo_unseg10n_decision.py, wherein all states had 10 neurons per dimension, and there is increased vocabulary overlap between states.