Table 4.
Inter-module connection weights that are directed from a particular set of neural connections. The variance parameter is centered on the specified weight of a uniformly distributed random variable; this introduces variability between connections in the early visual areas.
| From | To | Origin | Destination | Weight | Variance | Type | Note |
|---|---|---|---|---|---|---|---|
| D1 | FS | DP | DI | 0.03 | 0 | Lateral | |
| D1 | IT | DP | DI | 0.09 | 0.001 | Feedback | |
| D1 | D2 | DP | E | 0.105 | 0 | Forward | |
| D1 | IT | SP | SI | 0.03 | 0.001 | Feedback | |
| D1 | IT | DP | SI | 0.015 | 0.001 | Feedback | |
| D1 | D2 | SP | E | 0.105 | 0 | Forward | |
| D1 | FR | SP | E | 0.15 | 0 | Forward | |
| D1 | FS | SP | SI | 0.03 | 0 | Lateral | |
| D2 | D1 | DP | DP | 0.014 | 0 | Feedback | |
| D2 | IT | DP | DP | 0.004 | 0.002 | Feedback | |
| D2 | V4c | DP | DP | 0.0021 | 0.0007 | Feedback | |
| D2 | V4h | DP | DP | 0.0021 | 0.0007 | Feedback | |
| D2 | V4v | DP | DP | 0.0021 | 0.0007 | Feedback | |
| D2 | IT | DP | SP | 0.014 | 0.002 | Feedback | |
| D2 | IT | SP | SP | 0.01 | 0.002 | Feedback | |
| D2 | V4c | DP | SP | 0.0021 | 0.0007 | Feedback | |
| D2 | V4h | DP | SP | 0.0021 | 0.0007 | Feedback | |
| D2 | V4v | DP | SP | 0.0021 | 0.0007 | Feedback | |
| D2 | D1 | SP | SP | 0.014 | 0 | Feedback | |
| FR | D2 | DP | DI | 0.26 | 0 | Feedback | |
| FR | D1 | DP | SI | 0.075 | 0 | Feedback | |
| FR | D2 | DP | SI | 0.325 | 0 | Feedback | |
| FR | D1 | DP | DI | 0.06 | 0 | Feedback | |
| FS | D1 | DP | D I | 0.0875 | 0 | Lateral | |
| FS | D2 | DP | E | 0.28 | 0 | Forward | |
| FS | D2 | SP | E | 0.28 | 0 | Forward | |
| FS | FR | SP | E | 0.1375 | 0 | Forward | |
| FS | D1 | SP | SI | 0.0875 | 0 | Lateral | |
| IT | V4c | DP | DP | 0.0015625 | 0.0006 | Feedback | |
| IT | V4h | DP | DP | 0.0015625 | 0.0006 | Feedback | |
| IT | V4v | DP | DP | 0.0015625 | 0.0006 | Feedback | |
| IT | V4c | DP | SP | 0.0015625 | 0.0006 | Feedback | |
| IT | V4h | DP | SP | 0.0015625 | 0.0006 | Feedback | |
| IT | V4v | DP | SP | 0.0015625 | 0.0006 | Feedback | |
| IT | FS | SP | E | 0.6 | 0.02 | Forward | |
| V1h | V4c | SP | E | 0.14 | 0.01 | Forward | * |
| V1h | V4h | SP | E | 0.14 | 0.01 | Forward | * |
| V1v | V4c | SP | E | 0.14 | 0.01 | Forward | * |
| V1v | V4v | SP | E | 0.14 | 0.01 | Forward | * |
| V4c | IT | SP | E | Learned | 0 | Forward | ** |
| V4h | V1h | DP | DP | 0.0025 | 0.001 | Feedback | *** |
| V4h | V1h | DP | SP | 0.0015 | 0.001 | Feedback | *** |
| V4h | IT | SP | E | Learned | 0 | Forward | ** |
| V4v | V1v | DP | DP | 0.0025 | 0.001 | Feedback | *** |
| V4v | V1v | DP | SP | 0.0015 | 0.001 | Feedback | *** |
| V4v | IT | SP | E | Learned | 0 | Forward | ** |
| LGN | V1h | Binary | E | .04,.012,.006 | .002,.003,.003 | Forward | *,**** |
| LGN | V1v | Binary | E | .04,.012,.006 | .002,.003,.003 | Forward | *,**** |
| ATTS | D2 | Binary | SP | 0.05 | 0 | Feedback | **** |
| ATTS | D2 | Binary | DP | 0.05 | 0 | Feedback | **** |
indicates that the various connection weights are based on the receptive fields shown in Figure 4.
indicates that these weight values were learned when the Wilson-Cowan model was developed (see Tagamets and Horwitz 1998 for details of the learning algorithm).
indicates these areas have receptive field properties that are shown in the V4v and V4h boxes from Figure 4.
indicates that these connections come from units in LGN or ATTS which assume either high or low value depending on simulation instructions.