HYBRID CENTER-SURROUND CONTRAST GRID RESULTS ====================================================================== EXPERIMENTAL DESIGN: - CRF diameter: 5 pixels (center) - eCRF diameter: 37 pixels (surround) - Spatial frequency: 40.0 cycles/image (fixed) - Center contrasts tested: [0.25, 0.5, 0.75, 1.0] - Surround contrasts tested: [0.25, 0.5, 0.75, 1.0] - Total conditions: 4 × 4 = 16 - Decoder contrast: 1.0 (100%, trained ONCE) PROTOCOL: 1. Train decoder ONCE on 100% contrast CRF-only gratings 2. For each (center_contrast, surround_contrast) pair: a. Generate hybrid stimuli (center at center_contrast, surround at surround_contrast) b. Run multi-orientation optimization (6 orientations: [0, 30, 60, 90, 120, 150]) c. Rotate and average to get orientation-invariant structure d. Save visualizations with both mean and max channel aggregation KEY FINDINGS: MEAN AGGREGATION: Excitatory Adjustment Strength: [[6.51269220e-05 6.47864144e-05 1.35433263e-04 1.18366806e-04] [6.46188273e-05 8.12446888e-05 1.40131044e-04 8.27938638e-05] [6.66776614e-05 6.10479474e-05 7.42294214e-05 6.74536132e-05] [8.36108957e-05 6.26657420e-05 7.75634471e-05 7.79443799e-05]] Inhibitory Adjustment Strength: [[0.00101608 0.00183674 0.00272228 0.00249173] [0.00125585 0.00191737 0.0027818 0.00257297] [0.00040849 0.00117691 0.00216338 0.00260384] [0.00025831 0.00127918 0.001968 0.00246693]] E-I Balance: [[-0.0010268 -0.00182645 -0.00260715 -0.00238942] [-0.00127491 -0.00188746 -0.0026606 -0.00253219] [-0.00040018 -0.0011797 -0.00218447 -0.00259862] [-0.00028818 -0.00127756 -0.00197166 -0.00247464]] MAX AGGREGATION: Excitatory Adjustment Strength: [[0.00075596 0.00076598 0.00090926 0.00089322] [0.00071581 0.00082101 0.00098863 0.00089942] [0.00075497 0.00077526 0.00084908 0.00080702] [0.00077159 0.00075251 0.00085732 0.00090013]] Inhibitory Adjustment Strength: [[0.00183065 0.00268016 0.00368713 0.00340051] [0.00211727 0.00284197 0.00375919 0.00364316] [0.00122037 0.00217648 0.00332258 0.00372048] [0.00115652 0.00228468 0.00301593 0.00357704]] E-I Balance: [[-0.0010747 -0.00191418 -0.00277787 -0.00250729] [-0.00140146 -0.00202096 -0.00277056 -0.00274374] [-0.0004654 -0.00140123 -0.00247349 -0.00291346] [-0.00038493 -0.00153217 -0.0021586 -0.0026769 ]] BOTH AGGREGATIONS: Final Loss (lower = better rescue): [[3.93181288e+01 3.29466195e+06 1.71347029e+00 3.59198616e+00] [1.04406864e+01 3.08611869e+06 2.84487378e+01 5.39136055e+01] [1.83782914e+04 1.38843494e+04 1.25141391e+01 1.35317895e+00] [7.81374393e+07 1.91957822e+00 1.55377399e+01 3.91021994e+00]] INTERPRETATION: This experiment uses hybrid stimuli where the center (CRF) and surround (eCRF) have different contrasts. The decoder is trained ONCE on 100% contrast CRF-only gratings, ensuring consistent baseline. This design reveals: 1. How center-surround contrast interactions modulate recurrent compensation 2. Whether the recurrent mechanism adapts to contrast mismatches 3. Spatial structure of E/I adjustments across different contrast ratios Patterns to look for: - Diagonal (matched contrast): How does overall contrast affect recurrence? - Above diagonal (surround > center): Does surround dominate? - Below diagonal (center > surround): Does center drive compensation? - E/I balance shifts: How does contrast ratio affect excitation vs inhibition? Visualization Notes: - Mean aggregation: Averages across all channels (more holistic view) - Max aggregation: Takes maximum across channels (highlights strongest units) - Expected pattern: Excitatory adjustments higher near center, inhibitory higher in periphery