Transformers

The Neurodynamic Computational Model Reveals Abnormal Multistable Spatiotemporal Patterns and Mechanisms in Schizophrenia featured image
Transformers

The Neurodynamic Computational Model Reveals Abnormal Multistable Spatiotemporal Patterns and Mechanisms in Schizophrenia

In this study, we established a link between data-driven dynamic organizational modeling (including co-activation pattern and hidden Markov model) and theory-driven neurodynamic …

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Lin Du
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Low-Dimensional Temporal Representations of Brain Functional Networks Using a Transformer-Based Autoencoder featured image
Transformers

Low-Dimensional Temporal Representations of Brain Functional Networks Using a Transformer-Based Autoencoder

In this study, we developed a Transformer-based autoencoder (TAE) model for temporal dimensionality reduction of fMRI data, harnessing the Transformer's ability to capture temporal …

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Lin Du
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