Author

Deying Song

Center for the Neural Basis of Cognition

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Chengcheng HuangiD· 1 shared Douglas A. RuffiD· 1 shared Marlene R. CoheniD· 1 shared Tai Sing LeeiD· 1 shared Wenhao ZhangiD· 1 shared Xueyan NiuiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Chengcheng HuangORCID

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2 papers

Recent·Most cited

Neuronal heterogeneity of normalization strength in a circuit model

Deying Song, Douglas A. Ruff, Marlene R. Cohen, Chengcheng Huang

This study uses a spiking neuron network model to show that normalization strength heterogeneity in the visual cortex correlates with inhibitory current and enhances information encoding.

Science Advances · Jan 1, 2026Peer-reviewedNeuroscience

A spiking neural circuit model for learning multi-sensory integration

Deying Song, Xueyan Niu, Wenhao Zhang, Tai Sing Lee

This paper proposes a spiking neural circuit model that explains the emergence of congruent and opposite neurons in multi-sensory integration and suggests it may be a canonical circuit in cortical areas.

bioRxiv · Nov 27, 2020 · PreprintNeuroscience