FusedNeXt-based anxiety detection from electroencephalography topographic maps: A comparative analysis of alpha, beta, and theta bands

Table 4 Stage-wise structure of the FusedNeXt architecture

Stage	Block A (spatial-mixing)	Block B (channel-mixing)	Output channels	Transition operation	Functional role
Stem	4 × 4 Conv (stride 4), BN, GELU	-	96	- (integrated 4 × downsampling)	Initial patch embedding (224 → 56)
Stage 1	(3 × 3 DWConv → GELU → 1 × 1 GConv) ‖ (1 × 1 GConv → GELU) → ⊕ → BN	[1 × 1 GConv (× 4 expand) → GELU → 1 × 1 Conv (project)] ‖ [3 × 3 GConv → GELU → 3 × 3 GConv] → ⊕ → BN	96	2 × 2 GConv, stride 2	Low-level local topographic patterns
Stage 2	Same structure as stage 1	Same structure as stage 1	192	2 × 2 GConv, stride 2	Intermediate spatial representations
Stage 3	Same structure as stage 1	Same structure as stage 1	384	2 × 2 GConv, stride 2	High-level discriminative spatial patterns
Stage 4	Same structure as stage 1	Same structure as stage 1	768	Global average pooling	Final deep feature representation
Classification head	BN → GAP → FC (768 → 2) → Softmax	-	2	-	Anxiety/control class probabilities

Thia table shows the two-pass block A → block B sequence (block A: Spatial-mixing; block B: Channel-mixing; applied twice in succession inside each stage) and the transition operations between stages. ‖ denotes parallel paths, ⊕ denotes element-wise additive fusion, GConv denotes a grouped convolution, DWConv denotes a depthwise convolution. GELU: Gaussian Error Linear Unit; FC: Fully connected layer.