Publications | Deying Song

Journal Articles

*Song, Deying, *Chung, D. W., & Ermentrout, G.B. Mean-field analysis of synaptic alterations underlying deficient cortical gamma oscillations in schizophrenia. Journal of Computational Neuroscience, 2024. [doi]

*Song, Deying, Ruff, D., Cohen, M., & Huang, C. Neuronal heterogeneity of normalization strength in a circuit model. bioRxiv, 2024. [doi]

*Song, Deying, Niu, X., Zhang, W.-H., & Lee, T. A spiking neural circuit model for learning multi-sensory integration. bioRxiv, 2020. [doi]

*Song, Deying & Huang, C. Computational benefits of normalization in a circuit model. Computational and Systems Neuroscience (CoSyNe), 2025 (acceptance rate 49%). Montreal, Québec, Canada. [doi]

*Song, Deying & Huang, C. Neuronal heterogeneity of normalization in a circuit model. From neuroscience to artificial intelligent systems (NAISys), 2024. Cold Spring Harbor Laboratory, NY, US.

*Song, Deying & Huang, C. Heterogeneity in normalization and attentional modulation in a circuit model. Computational and Systems Neuroscience (CoSyNe), 2023 (acceptance rate 50%). Montreal, Québec, Canada.

How task specification affects generalization in machine learning: A tutorial in Neuromatch Academy NeuroAI Course, 2024.
Awesome Foundation Models for the Brain: A professionally curated list of Modeling papers, Datasets, Experimental papers, Code Repositories, and Benchmarks for Foundation Model for the Brain.
High-Performance EIF Neural Network Simulation: A collection of optimized C implementations for simulating large-scale Exponential Integrate-and-Fire (EIF) neural networks with various connectivity patterns and input modalities.
Alpha Signal Discovery: A comprehensive Python framework for alpha signal discovery in financial data, adapted to ~2,000 samples. The framework includes data analysis, model development, validation, backtesting, and risk management.
Statistical Arbitrage Backtesting Engine: A C++ backtesting engine for statistical arbitrage and quantitative trading, featuring an event-driven architecture, low-latency execution, statistical validation, and production readiness
codes for manuscript: Neuronal heterogeneity of normalization strength in a circuit model, Song, D., Ruff, D., Cohen, M., & Huang, C. (2024), bioRxiv.

Neuronal heterogeneity of normalization strength in a circuit model. Computational Neuroscience Next Generation Symposium, Washington University in St. Louis (St. Louis, MO, USA), Sep. 2025
Neuronal heterogeneity of normalization strength in a circuit model. Computational Neuroscience Day, Carnegie Mellon University, Pittsburgh, PA, Aug. 2025
Frontiers of Neuroscience. International Youth Neuroscience Association (IYNA) Summer Program, Aug. 2023.
Neuroplasticity. International Youth Neuroscience Association (IYNA) Summer Program, July 2023.
Heterogeneity in normalization and attentional modulation in a circuit model. Hong Kong University of Science and Technology (Hong Kong, China), June 2023.
A spiking neural circuit model for learning multi-sensory integration. Beijing University of Posts and Telecommunications (Beijing, China), July 2021.
Criticality in the brain. Peking University (Beijing, China), May 2020.
Multiscale Implementation of Infinite-swap Replica Exchange Molecular Dynamics. Peking University (Beijing, China), Apr. 2019.

*Song, Deying & Huang, C. Computational benefits of normalization in a circuit model. Computational and Systems Neuroscience (CoSyNe) 2025 (Montreal, Quebec, Canada). Mar. 2025.
*Song, Deying, Ruff, D., Cohen, M. & Huang, C. Neuronal heterogeneity of normalization in a circuit model. From neuroscience to artificial intelligent systems (NAISys) 2024 (Cold Spring Harbor, NY, USA). Sept. 2024.
*Song, Deying & Huang, C. Heterogeneity in normalization and attentional modulation in a circuit model. Computational and Systems Neuroscience (CoSyNe) 2023 (Montreal, Quebec, Canada). Mar. 2023.
*Song, Deying, Ruff, D., Cohen, M. & Huang, C. Heterogeneity in normalization and attentional modulation in a circuit model. 9th Annual BRAIN Initiative Meeting (Washington DC, USA). June 2023.