diff --git a/src/models/adapters.py b/src/models/adapters.py
index d6bb944..ac4a197 100644
--- a/src/models/adapters.py
+++ b/src/models/adapters.py
@@ -29,17 +29,18 @@ coloredlogs.install(level="INFO", logger=LOGGER, fmt="%(asctime)s %(name)s %(lev
 # ---------------------------------------------------------------------------
 
 class MonaOp(nn.Module):
-    """Multi-cognitive visual filter: parallel depthwise convs (3×3, 5×5)."""
+    """Multi-cognitive visual filter: parallel depthwise convs (3×3, 5×5, 7×7)."""
 
     def __init__(self, channels: int) -> None:
         super().__init__()
         self.conv3 = nn.Conv2d(channels, channels, kernel_size=3, padding=1, groups=channels)
         self.conv5 = nn.Conv2d(channels, channels, kernel_size=5, padding=2, groups=channels)
+        self.conv7 = nn.Conv2d(channels, channels, kernel_size=7, padding=3, groups=channels)
         self.projector = nn.Conv2d(channels, channels, kernel_size=1)
 
     def forward(self, x: torch.Tensor) -> torch.Tensor:
         identity = x
-        x = (self.conv3(x) + self.conv5(x)) / 2.0 + identity
+        x = (self.conv3(x) + self.conv5(x) + self.conv7(x)) / 3.0 + identity
         return x + self.projector(x)