\setlength{\tabcolsep}{1.2pt}   % Set the uniform column spacing
\renewcommand{\arraystretch}{0.95} % Reduce row height
\newcommand{\var}[1]{{\tiny #1}}
% \newcommand{\var}[1]{{\fontsize{5pt}{5pt}\selectfont #1}}
\setlength{\heavyrulewidth}{1.0pt}   % Top and bottom line thickness
\setlength{\lightrulewidth}{0.5pt}    % Middle line thickness
\setlength{\arrayrulewidth}{0.5pt}    % Uniform thickness of horizontal lines

\begin{table*}[t]
\centering % 让表格居中

\caption{\textbf{Average classification accuracy} (mean $\pm$ std across three folds) for models on multiple neural decoding datasets. Higher throughput indicates faster inference. The best results are in \textbf{bold}. We use \textemdash\ to denote entries that are not applicable or not evaluated. Due to substantial differences between iEEG and EEG, we evaluate each pretrained model only on the modality it was pretrained on, the corresponding cross-modality cells are therefore marked with \textemdash. In addition, CBraMod uses a patch size of 200, whereas \emph{ThingsEEG} has an input length of 100, so CBraMod cannot be run on \emph{ThingsEEG} and is marked \textemdash.}

\label{tab:Table.4}
\resizebox{0.9\textwidth}{!}{ % 调整表格宽度为文本宽度，高度自适应
\scriptsize
\begin{tabular}{@{} p{1.2cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} p{0.8cm} @{}}
\toprule
% \multicolumn{2}{c}{\multirow{3}{*}{\textbf{Model}}} &
\multicolumn{2}{c}{\multirow{3}{*}{\textbf{\diagbox{Models}{Datasets}}}} &
\multicolumn{6}{c}{\textbf{Speech Decoding}} &
\multicolumn{6}{c}{\textbf{Visual Decoding}} &
\multicolumn{4}{c}{\textbf{Auditory Decoding}} \\
\cmidrule(lr){3-8} \cmidrule(lr){9-14} \cmidrule(lr){15-18}
& \multicolumn{1}{c}{}
& \multicolumn{2}{c}{\multirow{2}{*}{\textbf{Du-IN}}}
& \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Chisco-R}}}}
& \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Chisco-I}}}}
& \multicolumn{2}{c}{\multirow{2}{*}{\textbf{SEED-DV}}}
& \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Things-\\EEG}}}}
& \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Faces-\\Houses}}}}
& \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Open-\\MIIR-P}}}}
& \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Open-\\MIIR-I}}}} \\

% \multicolumn{2}{c}{\multirow{2}{*}{\textbf{Model}}} &
% % \multicolumn{1}{c}{\multirow{2}{*}{\textbf{\makecell{Params\\(M)}}}} &
% \multicolumn{1}{c}{\multirow{2}{*}{\textbf{\makecell{Throughput\\(sample/s)}}}}
% % & \multicolumn{1}{c}{\multirow{2}{*}{\textbf{\makecell{FLOPs\\(G)}}}}
% & \multicolumn{2}{c}{\multirow{2}{*}{\textbf{Du-IN}}}
% & \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Chisco-R}}}}
% & \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Chisco-I}}}}
% & \multicolumn{2}{c}{\multirow{2}{*}{\textbf{SEED-DV}}}
% & \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Things-\\EEG}}}}
% & \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Faces-\\Houses}}}}
% & \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Open-\\MIIR-P}}}}
% & \multicolumn{2}{c}{\multirow{2}{*}{\textbf{\makecell{Open-\\MIIR-I}}}} \\

\\
\midrule
\multicolumn{2}{l}{\multirow{1}{*}{ConvFormer}}
  % & \multicolumn{1}{c}{24}
  % & \multicolumn{1}{c}{357}
  & \multicolumn{2}{c}{.394\var{$\pm$.005}}
  & \multicolumn{2}{c}{.086\var{$\pm$.001}}
  & \multicolumn{2}{c}{.080\var{$\pm$.004}}
  & \multicolumn{2}{c}{.024\var{$\pm$.000}}
  & \multicolumn{2}{c}{.151\var{$\pm$.003}}
  & \multicolumn{2}{c}{.820\var{$\pm$.013}}
  & \multicolumn{2}{c}{.975\var{$\pm$.005}}
  & \multicolumn{2}{c}{.976\var{$\pm$.002}}
\\
\multicolumn{2}{l}{\multirow{1}{*}{CAFormer}}
  % & \multicolumn{1}{c}{26}
  % & \multicolumn{1}{c}{367}
  & \multicolumn{2}{c}{.221\var{$\pm$.003}}
  & \multicolumn{2}{c}{.081\var{$\pm$.003}}
  & \multicolumn{2}{c}{.076\var{$\pm$.002}}
  & \multicolumn{2}{c}{.025\var{$\pm$.001}}
  & \multicolumn{2}{c}{.160\var{$\pm$.009}}
  & \multicolumn{2}{c}{.800\var{$\pm$.012}}
  & \multicolumn{2}{c}{.976\var{$\pm$.006}}
  & \multicolumn{2}{c}{.977\var{$\pm$.002}}
\\

\midrule
\multicolumn{2}{l}{\multirow{1}{*}{ModernTCN}}
  % & \multicolumn{1}{c}{34}
  % & \multicolumn{1}{c}{361}
  & \multicolumn{2}{c}{.339\var{$\pm$.005}}
  & \multicolumn{2}{c}{.079\var{$\pm$.003}}
  & \multicolumn{2}{c}{.074\var{$\pm$.002}}
  & \multicolumn{2}{c}{.040\var{$\pm$.001}}
  & \multicolumn{2}{c}{.123\var{$\pm$.003}}
  & \multicolumn{2}{c}{.835\var{$\pm$.006}}
  & \multicolumn{2}{c}{.964\var{$\pm$.010}}
  & \multicolumn{2}{c}{.935\var{$\pm$.002}}
\\

\multicolumn{2}{l}{\multirow{1}{*}{MedFormer}}
  % & \multicolumn{1}{c}{36}
  % & \multicolumn{1}{c}{272}
  & \multicolumn{2}{c}{.212\var{$\pm$.006}}
  & \multicolumn{2}{c}{.089\var{$\pm$.003}}
  & \multicolumn{2}{c}{.085\var{$\pm$.001}}
  & \multicolumn{2}{c}{.025\var{$\pm$.000}}
  & \multicolumn{2}{c}{.045\var{$\pm$.002}}
  & \multicolumn{2}{c}{.756\var{$\pm$.011}}
  & \multicolumn{2}{c}{.948\var{$\pm$.001}}
  & \multicolumn{2}{c}{.941\var{$\pm$.001}}

\\

\midrule
\multicolumn{2}{l}{\multirow{1}{*}{DeepConvNet}}
  % & \multicolumn{1}{c}{34}
  % & \multicolumn{1}{c}{361}
  & \multicolumn{2}{c}{.053\var{$\pm$.002}}
  & \multicolumn{2}{c}{.053\var{$\pm$.004}}
  & \multicolumn{2}{c}{.052\var{$\pm$.001}}
  & \multicolumn{2}{c}{.029\var{$\pm$.001}}
  & \multicolumn{2}{c}{.091\var{$\pm$.001}}
  & \multicolumn{2}{c}{.822\var{$\pm$.005}}
  & \multicolumn{2}{c}{.896\var{$\pm$.009}}
  & \multicolumn{2}{c}{.789\var{$\pm$.005}}

\\

\multicolumn{2}{l}{\multirow{1}{*}{EEGNet}}
  % & \multicolumn{1}{c}{36}
  % & \multicolumn{1}{c}{272}
  & \multicolumn{2}{c}{.060\var{$\pm$.003}}
  & \multicolumn{2}{c}{.071\var{$\pm$.002}}
  & \multicolumn{2}{c}{.082\var{$\pm$.002}}
  & \multicolumn{2}{c}{.046\var{$\pm$.002}}
  & \multicolumn{2}{c}{.070\var{$\pm$.000}}
  & \multicolumn{2}{c}{.830\var{$\pm$.006}}
  & \multicolumn{2}{c}{.915\var{$\pm$.010}}
  & \multicolumn{2}{c}{.852\var{$\pm$.006}}
\\
\multicolumn{2}{l}{\multirow{1}{*}{Conformer}}
  % & \multicolumn{1}{c}{38}
  % & \multicolumn{1}{c}{432}
  & \multicolumn{2}{c}{.205\var{$\pm$.003}}
  & \multicolumn{2}{c}{.095\var{$\pm$.002}}
  & \multicolumn{2}{c}{.087\var{$\pm$.002}}
  & \multicolumn{2}{c}{.033\var{$\pm$.002}}
  & \multicolumn{2}{c}{.077\var{$\pm$.002}}
  & \multicolumn{2}{c}{.762\var{$\pm$.001}}
  & \multicolumn{2}{c}{.962\var{$\pm$.013}}
  & \multicolumn{2}{c}{.930\var{$\pm$.002}}

\\
\multicolumn{2}{l}{\multirow{1}{*}{SPaRCNet}}
  % & \multicolumn{1}{c}{24}
  % & \multicolumn{1}{c}{152}
  & \multicolumn{2}{c}{{.026\var{$\pm$.001}}}
  & \multicolumn{2}{c}{.005\var{$\pm$.000}}
  & \multicolumn{2}{c}{.005\var{$\pm$.000}}
  & \multicolumn{2}{c}{.026\var{$\pm$.001}}
  & \multicolumn{2}{c}{.189\var{$\pm$.001}}
  & \multicolumn{2}{c}{.805\var{$\pm$.007}}
  & \multicolumn{2}{c}{.969\var{$\pm$.007}}
  & \multicolumn{2}{c}{{{.948\var{$\pm$.005}}}}

\\
\midrule
\multicolumn{2}{l}{\multirow{1}{*}{seegnificant}}
  % & \multicolumn{1}{c}{38}
  % & \multicolumn{1}{c}{432}
  & \multicolumn{2}{c}{.053\var{$\pm$.002}}
  & \multicolumn{2}{c}{\textemdash}
  & \multicolumn{2}{c}{\textemdash}
  & \multicolumn{2}{c}{\textemdash}
  & \multicolumn{2}{c}{\textemdash}
  & \multicolumn{2}{c}{.831\var{$\pm$.006}}
  & \multicolumn{2}{c}{\textemdash}
  & \multicolumn{2}{c}{\textemdash}
% \\
% \multicolumn{2}{c}{\multirow{1}{*}{EEGPT}}
%   % & \multicolumn{1}{c}{34}
%   & \multicolumn{1}{c}{437}
%   & \multicolumn{2}{c}{-}
%   & \multicolumn{2}{c}{.005\var{$\pm$.000}}
%   & \multicolumn{2}{c}{.005\var{$\pm$.000}}
%   & \multicolumn{2}{c}{.025\var{$\pm$.000}}
%   & \multicolumn{2}{c}{.083\var{$\pm$.001}}
%   & \multicolumn{2}{c}{-}
%   & \multicolumn{2}{c}{.682\var{$\pm$.006}}
%   & \multicolumn{2}{c}{.352\var{$\pm$.009}}
\\
\multicolumn{2}{l}{\multirow{1}{*}{CBraMod}}
  % & \multicolumn{1}{c}{4}
  % & \multicolumn{1}{c}{347}
  & \multicolumn{2}{c}{\textemdash}
  & \multicolumn{2}{c}{.084\var{$\pm$.002}}
  & \multicolumn{2}{c}{.077\var{$\pm$.001}}
  & \multicolumn{2}{c}{.026\var{$\pm$.002}}
  & \multicolumn{2}{c}{\textemdash}
  & \multicolumn{2}{c}{\textemdash}
  & \multicolumn{2}{c}{.975\var{$\pm$.011}}
  & \multicolumn{2}{c}{.933\var{$\pm$.008}}
\\
\midrule
\multicolumn{2}{l}{\multirow{1}{*}{NeuroSketch-Base}}
  % & \multicolumn{1}{c}{9}
  % & \multicolumn{1}{c}{{{532}}}
  & \multicolumn{2}{c}{{{.472\var{$\pm$.006}}}}
  & \multicolumn{2}{c}{{{.111\var{$\pm$.001}}}}
  & \multicolumn{2}{c}{{\textbf{.103\var{$\pm$.002}}}}
  & \multicolumn{2}{c}{{{.045\var{$\pm$.002}}}}
  & \multicolumn{2}{c}{{\textbf{.196\var{$\pm$.002}}}}
  & \multicolumn{2}{c}{{{.879\var{$\pm$.008}}}}
  & \multicolumn{2}{c}{{{.981\var{$\pm$.010}}}}
  & \multicolumn{2}{c}{{{.970\var{$\pm$.002}}}}
\\
\multicolumn{2}{l}{\multirow{1}{*}{NeuroSketch-Large}}
  % & \multicolumn{1}{c}{4}
  % & \multicolumn{1}{c}{347}
  & \multicolumn{2}{c}{\textbf{.652\var{$\pm$.002}}}
  & \multicolumn{2}{c}{\textbf{.116\var{$\pm$.001}}}
  & \multicolumn{2}{c}{.095\var{$\pm$.005}}
  & \multicolumn{2}{c}
  {{\textbf{.047\var{$\pm$.003}}}}
  & \multicolumn{2}{c}{{{.177\var{$\pm$.001}}}}
  & \multicolumn{2}{c}
  {{\textbf{.879\var{$\pm$.007}}}}
  & \multicolumn{2}{c}
  {{\textbf{.982\var{$\pm$.009}}}}
  & \multicolumn{2}{c}
  {{\textbf{.977\var{$\pm$.002}}}}
\\
\bottomrule
\end{tabular}}
\end{table*}