List your company
ResearchFormerly WizWand

Speech Decoding on sEEG

3.3707Cross-EntropyDu-IN (mae)
3.3043523.7522014.200054.647899May 19, 2024
Updated 8mo ago

Evaluation results

MethodLinks
Du-IN (mae)Token Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=4.38M2024.053.37070.2882
Du-IN (vqvae)Token Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=4.38M2024.053.43090.2781
Du-IN (poms)Token Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=true, Model Size=5.18M2024.053.44290.2754
Du-INToken Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=4.38M2024.053.50830.3003
Neuro-BERTToken Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=2.14M2024.053.64160.436
Du-IN (vqvae+vq)Token Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=4.38M2024.053.72440.3104
EEG-ConformerToken Level=Region, PT (Pre-trained)=false, MS (Multi-subject)=true, Model Size=2.34M2024.053.81650.3456
TS-TCCToken Level=Region, PT (Pre-trained)=false, MS (Multi-subject)=true, Model Size=0.32M2024.053.88710.3072
CNN-BIGRUToken Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=0.54M2024.054.02940.7621
DeWaveToken Level=Region, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=5.70M2024.054.18910.5722
BrainBERTToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=true, Model Size=43.58M2024.054.6190.2132
BrainBERTToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=43.58M2024.054.62540.1984
LaBraM-PopTToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=true, Model Size=6.85M2024.054.65640.1893
BrantToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=69.35M2024.054.79620.7082
LaBraMToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=false, Model Size=6.85M2024.054.85910.2723
BrantToken Level=Channel, PT (Pre-trained)=true, MS (Multi-subject)=true, Model Size=69.35M2024.055.02941.0621