@SongDeying

PhD candidate in computational neuroscience in Huang Lab @cc_huang11 joint program in NC/ML @CarnegieMellon Undergrad in Integrated Science @PKU1898

Joined July 2022
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I’m happy to share that one of my PhD works, Neuronal heterogeneity of normalization strength in a circuit model, is published in Science Advances (science.org/doi/10.1126/scia…). 🧵1/n

Neuronal heterogeneity of normalization strength in a circuit model

Diverse inhibitory currents generate heterogeneous normalization that enhances visual stimulus encoding.

science.org
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Please feel free to check the codes for the simulation and analysis in the manuscript (github.com/deyingsong/normal…) 🧵4/n

GitHub - deyingsong/normalization_heterogeneity: Codes for the manuscript: Song, D., Ruff, D.,...

Codes for the manuscript: Song, D., Ruff, D., Cohen, M., & Huang, C. Neuronal heterogeneity of normalization strength in a circuit model.Sci. Adv.12,eadv9396(2026).DOI:10.1126/sciadv.adv939...

github.com
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as well as a tutorial on C implementations for simulating large-scale Exponential Integrate-and-Fire (EIF) neural networks (github.com/deyingsong/EIF-ne…). Any comments and suggestions are welcomed. 🧵n/n

GitHub - deyingsong/EIF-network-simulation: High-Performance EIF Neural Network Simulation

High-Performance EIF Neural Network Simulation. Contribute to deyingsong/EIF-network-simulation development by creating an account on GitHub.

github.com
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I had the honor of being invited as one of nine speakers at the 2025 Computational Neuroscience Next Generation Symposium at Washington University in St. Louis.
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The event provided an excellent opportunity to share my work, exchange ideas with distinguished researchers, and meet inspiring new colleagues. I came away both encouraged and energized by the discussions — and deeply motivated to continue advancing my research.
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I always enjoy coming to @CosyneMeeting, meeting friends, studying cutting-edge neuroscience, and getting intellectually satisfied and enlightened.
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Preprint on biorxiv
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e-Poster and video on @worldwideneuro (world-wide.org/cosyne-25/com…)
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New preprint! 🧠📊💡 Our work on Neuronal heterogeneity of normalization strength in a circuit model is now on biorxiv! 🧵1/n
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Together, our model provides a mechanistic explanation of heterogeneous normalization strengths in the visual cortex, and sheds new light on the computational benefits of neuronal heterogeneity. 🧵9/n
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This work is fortunately advised by @cc_huang11 , in collaboration with @marlenecohen and Douglas Ruff. Thanks for reading and would love any feedback. 🧵n/n biorxiv.org/content/10.1101/…

Neuronal heterogeneity of normalization strength in a circuit model

The size of a neuron’s receptive field increases along the visual hierarchy. Neurons in higher-order visual areas integrate information through a canonical computation called normalization, where...

biorxiv.org
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