Hungry hungry hippos: Towards language modeling with state space models
Neuro-gpt: Towards a foundation model for eeg
To handle the scarcity and heterogeneity of electroencephalography (EEG) data for Brain-
Computer Interface (BCI) tasks, and to harness the power of large publicly available data …
Computer Interface (BCI) tasks, and to harness the power of large publicly available data …
CSLP-AE: A contrastive split-latent permutation autoencoder framework for zero-shot electroencephalography signal conversion
Electroencephalography (EEG) is a prominent non-invasive neuroimaging technique
providing insights into brain function. Unfortunately, EEG data exhibit a high degree of noise …
providing insights into brain function. Unfortunately, EEG data exhibit a high degree of noise …
fmri-pte: A large-scale fmri pretrained transformer encoder for multi-subject brain activity decoding
The exploration of brain activity and its decoding from fMRI data has been a longstanding
pursuit, driven by its potential applications in brain-computer interfaces, medical diagnostics …
pursuit, driven by its potential applications in brain-computer interfaces, medical diagnostics …