Table 2.
Parameters of the projections in the model.
| Pre | Post | Type | Pattern | Eq. | Weight | [wmin, wmax] | ϵ | θpre | θpost | K | τdopa | k | τα |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| VIS | IT | Exc | One-to-many | – | 1.0 | – | – | – | – | – | – | – | – |
| GUS | LH | Exc | One-to-one | – | 1.0 | – | – | – | – | – | – | – | – |
| LH | BLA | Exc | All-to-all | 11 | 0.3 ± 0.2 | [0, −] | 100 | – | – | 10 | 100 | 1 | 1 |
| IT | BLA | Mod | All-to-all | 13 | 0.0 | – | 300 | – | – | – | – | – | – |
| BLA | BLA | Inh | All-to-all | 8 | 0.5 | [0, 3] | 100 | – | – | – | – | – | – |
| BLA | CE | Exc | All-to-all | – | 1.0 | – | – | – | – | – | – | – | – |
| CE | PPTN | Exc | All-to-one | – | 1.5 | – | – | – | – | – | – | – | – |
| LH | PPTN | Exc | All-to-one | – | 0.75 | – | – | – | – | – | – | – | – |
| PPTN | PPTN | Inh | All-to-all | – | 2 | – | – | – | – | – | – | – | – |
| PPTN | VTA | Exc | All-to-all | – | 1.5 | – | – | – | – | – | – | – | – |
| PPTN | VP | Exc | All-to-all | – | 0.5 | – | – | – | – | – | – | – | – |
| VP | RMTg | Inh | All-to-all | – | 1 | – | – | – | – | – | – | – | – |
| VP | LHb | Inh | All-to-all | – | 3 | – | – | – | – | – | – | – | – |
| LHb | RMTg | Exc | All-to-all | – | 1.5 | – | – | – | – | – | – | – | – |
| RMTg | VTA | Inh | All-to-all | – | 1.0 | – | – | – | – | – | – | – | – |
| IT | vmPFC | Exc | Many-to-many | – | 0.3 | – | – | – | – | – | – | – | – |
| vmPFC | NAcc | Mod | All-to-all | 11 | 0 | [−0.2, −] | 50 | – | – | 5 | 10 | 1 | 10 |
| BLA | NAcc | Exc | One-to-one | – | 0.3 | – | – | – | – | – | – | – | – |
| VTA | NAcc | Dopa | All-to-all | – | 0.5 | – | – | – | – | – | – | – | – |
| NAcc | NAcc | Inh | All-to-all | 8 | 0.5 | [0, 1] | 1000 | – | – | – | – | – | – |
| NAcc | VP | Inh | All-to-all | 7 | 0 | [0, 2] | 100 | 0 | 0.5 | – | – | – | – |
| NAcc | VTA | Inh | All-to-all | 7 | 0 | [0, 2] | 500 | 0 | 0 | – | – | – | – |
Pre and Post describe the pre- and post-synaptic populations, respectively. Type denotes the type of the synapses in the projection, as they are differentially integrated by the postsynaptic neurons (exc, inh, mod, dopa). Pattern denotes the projection pattern between the pre- and post-synaptic populations: all-to-all means that all post-synaptic neurons receive connections from all presynaptic neurons; one-to-one means that each postsynaptic neuron receives exactly one connection from the pre-synaptic population, without overlap. one-to-many and many-to-many refer to specific projection patterns for the clusters in IT, please refer to section 2.2.3 for a description. Eq represents the number of the equation governing plasticity in the projection. Weight describe the initial value for the weight of each synapse (non-learnable connections keep this value through the simulation). wmin is the minimal value that a learnable weight can take during learning, while wmax is the maximal value (if any). The other parameters correspond to the respective equations of the learning rules, please refer to them for details.