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1. Enhanced-inverted-encoding-model-eIEM Enhanced-inverted-encoding-model-eIEM Public

   [Scotti, Chen, & Golomb; preprint] An enhanced inverted encoding model for neural reconstructions. https://doi.org/10.1101/2021.05.22.445245

   Python

2. Dynamic-EEG-reconstructions-attention Dynamic-EEG-reconstructions-attention Public

   [Chen & Golomb, 2023 JNeurophysiology] Dynamic neural reconstructions of attended object location and features using EEG. doi.org/10.1152/jn.00180.2022

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3. RealWorldSize_RSA RealWorldSize_RSA Public

   [Lu & Golomb, 2024 eLife] Human EEG and artificial neural networks reveal disentangled representations of object real-world size in natural images. https://doi.org/10.7554/eLife.98117.1

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4. Img2EEG Img2EEG Public

   [Lu & Golomb, 2024 CCN] Probing Human Vision via an Image-to-EEG Encoding Model. https://2024.ccneuro.org/pdf/337_Paper_authored_Img2EEG_CCN2024_Authored.pdf

5. ReAlnet ReAlnet Public

   [Lu, Wang, & Golomb; preprint] Achieving more human-brain like vision via human EEG representational alignment. https://doi.org/10.48550/arXiv.2401.17231

   Python

6. EEG2EEG EEG2EEG Public

   [Lu & Golomb, 2023 CogSci] Generate your neural signals from mine: individual-to-individual EEG converters. https://escholarship.org/uc/item/5xn0885t

   Jupyter Notebook