Zitong Lu

To be
an experimental psychologist,
a cognitive neuroscientist,
an AI research scientist.

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Publications

Google Scholar: https://scholar.google.com/citations?hl=en&user=bE5VCKsAAAAJ
ξ: (co-)first author; ϕ: corresponding author

Preprints & Manuscripts submitted or in preparation:

Zitong Luξϕ., & Wang, Yϕ. (submitted to Neuron). Distinct mitochondrial phenotypes align with visual and semantic representations across human cortex. https://doi.org/10.64898/2026.08.07.743627/a> [Preprint Pdf]

Moussa, H.Nξ., Da Silva, P.Q., Adu-Ampratwum, D., East, A., Lu, Z., Puccetti, N., Xue, M., Sun, H., Majumder, B.P., & Kumar, Sϕ. (in revision in Nature Machine Intelligence). ScholarEval: Research Idea Evaluation Grounded in Literature. https://doi.org/10.48550/arXiv.2510.16234 [Preprint Pdf]

Lu, Zξϕ., & Golomb, J.D. (in revision in Nature Communications). Unfolding spatiotemporal representations of 3D visual perception in the human brain. bioRxiv. https://doi.org/10.1101/2025.08.03.668371 [Preprint Pdf]

Cesnaite, Eξ., ..., Lu, Z., ..., & Busch, N.Aϕ. (in revision in Nature Human Behaviour). Many Pipelines, One Dataset: Analytic Flexibility and Its Impact in EEG Research. MetaArxiv. https://osf.io/preprints/metaarxiv/wvx48_v2 [Preprint Pdf]

Cesnaite, Eξ., ..., Lu, Z., ..., & Busch, N.Aϕ. (under review in Communications Psychology). The EEGManyPipelines Dataset: Metascientific Data on 168 independent Analyses of a Single EEG Dataset. MetaArxiv. https://osf.io/preprints/metaarxiv/c4xwg_v1 [Preprint Pdf]

Lu, Zξϕ., & Golomb, J.D. (under review in Psychonomic Bulletin & Review). The influence of task-irrelevant landmarks on spatiotopic localization and object-location binding. PsyArXiv. https://doi.org/10.31234/osf.io/u7j5q_v1 [Preprint Pdf]

Wu, Jξ., Ma, Z., Li, J., Tang, B., & Lu, Zϕ. (under review in EACL). Do VLMs Align Better with Humans than LLMs during Natural Reading? Arxiv. https://doi.org/10.48550/arXiv.2605.28818 [Preprint Pdf]

Lu, Zξϕ., & Wang, Y. (preprint). Language learning shapes visual category-selectivity in deep neural networks. Arxiv. https://doi.org/10.48550/arXiv.2502.16456 [Preprint Pdf]

Wang, Yξϕ., Lu, Z., & Lakshminarasimhan, K. (in preparation). Coordinated Drift of Image Representations in Human EEG.

Chiu, T-Yξϕ., Lu, Z., & Golomb, J.D. (in preparation). Dynamic Read-Out of Transsaccadic Attentional Remapping from Alpha Band Oscillation.

Lu, Zξϕ., & Golomb, J.D. (in preparation). Img2EEG: A Scalable and Interpretable Encoding Framework for Simulating Human EEG Response to Visual Inputs.

Tang, Sξ., Lu, Zξϕ., & Li, Dϕ. (in preparation). AVMoments-EEG: A Large-Scale EEG Dataset of Naturalistic Audiovisual Event Perception. </p> ***Peer-reviewed publications***:

Clayson, P.Eξ., …, Lu, Z., …, Langer. N. (2026). Contralateral delay activity as a marker of visual working memory capacity: a multi-site registered replication. Cortex. https://doi.org/10.1016/j.cortex.2026.04.006 [Pdf]

Shi, Sξ., Song, Y., Wang, Y., Zhao, Z., Wang, P., Lu, Zϕ., Li, Xϕ., & Chen, Hϕ. (2026). Toward General-Purpose Foundation Models for EEG: A Unified Data Warehouse. Brain-X, e70046. https://doi.org/ 10.1002/brx2.70046 [Pdf]

Zeng, Yξϕ., Lu, Z., Hentz, R.E., & Osher, D.E. (2026). Face-like holistic Processing in Non-Face Stimuli. Cognitive Psychology, 164:101801. https://doi.org/10.1016/j.cogpsych.2026.101801 [Pdf]

Lu, Zξϕ., Wang, Y., & Golomb, J.D. (2026). Achieving more human-brain like vision via human EEG representational alignment. Communications Biology, 9(463). https://doi.org/10.1038/s42003-026-09685-w [Pdf]

Lu, Zξϕ., & Golomb, J.D. (2025). Human EEG and artificial neural networks reveal disentangled representations of object real-world size in natural images. eLife. 13:RP98117. https://doi.org/10.7554/eLife.98117.3 [Pdf]

Li, Yξ., Moussa, H.Nξ., ..., Lu, Z., ..., & Sun, Hϕ. (2025). AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists. Proceedings of the 2025 conference on Empirical Methods in Natural Language Processing (EMNLP 2025). (Also the Best Paper Award at COLM2025 LLM for Scientific Discovery workshop) https://openreview.net/forum?id=oipUPoGLPy [Pdf]

Cheng, Yξϕ., Shen, T., Lu, Zϕ., Yuan, X., & Jiang, Y. (2025). The performance of deep convolutional neural networks in face recognition and comparison with the human visual system. Journal of Psychological Science (in Chinese), 48(4), 814-825. https://doi.org/10.16719/j.cnki.1671-6981.20250405 [Pdf]

Lu, Zξϕ., & Wang, Y. (2025). Teach CORnet Human fMRI representations for Enhanced Model-Brain Alignment. Cognitive Neurodynamics, 19, 61. https://doi.org/10.1007/s11571-025-10252-y [Pdf]

Ran, Mξ., Lu, Zϕ., & Golomb, J.D. (2025). The influence of a moving object’s location on object identity judgements. Journal of Experimental Psychology: Human Perception and Performance. Advance online publication. https://doi.org/10.1037/xhp0001311 [Pdf]

Chen, Zξ., Chen, Sξ., ..., Lu, Z., ..., & Sun, Hϕ. (2025). ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. Proceedings of the 12th International Conference on Learning Representations (ICLR 2025). https://openreview.net/forum?id=6z4YKr0GK6 [Pdf]

Lu, Zξϕ., Wang, Y., & Golomb, J.D. (2024). ReAlnet: Achieving more human-brain like vision via human neural representational alignment. Proceedings of the Conference on Cognitive Computational Neuroscience 2024 (CCN 2024). [https://2024.ccneuro.org/pdf/88_Paper_authored_ReAlnet_CCN2024_Authored.pdf][Pdf]

Lu, Zξϕ., & Golomb, J.D. (2024). Probing Human Vision via an Image-to-EEG Encoding Model. Proceedings of the Conference on Cognitive Computational Neuroscience 2024 (CCN 2024). [https://2024.ccneuro.org/pdf/337_Paper_authored_Img2EEG_CCN2024_Authored.pdf][Pdf]

Lu, Zξϕ., Li, W., Nie, L., & Zhao, K. (2024). An easy-to-follow handbook for electroencephalogram data analysis with Python. Brain-X. e64. https://doi.org/10.1002/brx2.64 [Pdf]

Lu, Zξϕ., & Golomb, J.Dϕ. (2024). Dynamic saccade context triggers more stable object-location binding. Journal of Experimental Psychology: General. 153(4), 873-888. (APA "Editor's Choice" Paper!) https://doi.org/10.1037/xge0001545 [Pdf]

Lu, Zξ., & Ku, Yϕ. (2023). Bridging the Gap between EEG and DCNNs Reveals a Fatigue Machanism of Facial Repetition Suppression. iScience. 108501. https://doi.org/10.1016/j.isci.2023.108501 [Pdf]

Lu, Zξϕ. (2023). Visualizing the Mind’s Eye: A Future Perspective on Applications of Image Reconstruction from Brain Signals to Psychiatry. Psychpradiology. kkad022. https://doi.org/10.1093/psyrad/kkad022 [Pdf]

Lu, Zξϕ., & Golomb, J.D. (2023). Object real-world size representations in human brains and artificial neural networks. Proceedings of the Conference on Cognitive Computational Neuroscience 2023 (CCN 2023). https://doi.org/10.32470/CCN.2023.1227-0 [https://2023.ccneuro.org/proceedings/0000909.pdf][Pdf]

Lu, Zξϕ., & Golomb, J.D. (2023). Generate your neural signals from mine: individual-to-individual EEG converters. Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023). https://escholarship.org/uc/item/5xn0885t [Pdf]

Lu, Zξ., Shafer-Skelton, A., & Golomb, J.Dϕ. (2022). Gaze-centered spatial representations in human hippocampus. Proceedings of the Conference on Cognitive Computational Neuroscience 2022 (CCN 2022). https://doi.org/10.32470/CCN.2022.1088-0 [https://2022.ccneuro.org/proceedings/0000614.pdf][Pdf]

Lu, Zξ., & Ku, Yϕ. (2020). NeuroRA: A Python toolbox of representational analysis from multi-modal neural data. Frontiers in Neuroinformatics. 14:563669. https://doi.org/10.3389/fninf.2020.563669 [Pdf][Link][Code]