Article
# Corresponding author, * First author
2023
S. Zhou*, M. Seay*, J. Taxidis, P. Golshani, D.V. Buonomano, Multiplexing working memory and time in the trajectories of neural networks. Nature Human Behaviour, 2023, PDF
2022
S. Zhou#, D.V. Buonomano#, bioRxiv, Unified control of temporal and spatial scales of sensorimotor behavior through neuromodulation of short-term synaptic plasticity. 2022, PDF
S. Zhou#, S.C. Masmanidis, D.V. Buonomano#,Encoding time in neural dynamic regimes with distinct computational tradeoffs. PLOS Computational Biology, 2022, PDF
S. Zhou, D.V. Buonomano, Neural population clocks: Encoding time in dynamic patterns of neural activity. Behavioral Neuroscience, 2022, PDF
2020
S. Zhou, S.C. Masmanidis, D.V. Buonomano, Neural sequences as an optimal dynamical regime for the readout of time. Neuron, 2020, PDF
2018
S. Zhou, Y. Yu, Synaptic E-I balance underlying efficient coding. Frontiers in Neuroscience 2018, PDF
Before
S. Zhou, M. Migliore, and Y. Yu, Odor Experience Facilitates Sparse Representations of New Odors in a Large-Scale Olfactory Bulb Model. Frontiers in Neuroanatomy, 2016
S. Zhou#, H.Y. Chu, G.Z. Jin, J.M. Cui, X.C. Zhen#, Effects of SKF83959 on the excitability of hippocampal CA1 pyramidal neurons: a modeling study. Acta Pharmacologia Sinica, 2014
L.L. Xu*, S. Zhou*, K.Q. Yu, et al., Molecular modeling of the 3D structure of 5-HT1AR: discovery of novel 5-HT1AR agonists via dynamic pharmacophore-based virtual screening. Journal of Chemical Information and Modeling, 2013
H.Y. Chu, Q.Q. Wu, S. Zhou, et al., SKF83959 suppresses excitatory synaptic transmission in rat hippocampus via a dopamine receptor-independent mechanism. Journal of Neuroscience Research, 2011
H. Zhang, N. Ye, S. Zhou, et al., Identification of N-Propylnoraporphin-11-yl 5-(1,2-Dithiolan-3-yl)pentanoate as a new anti-parkinson’s agent possessing a dopamine D-2 and serotonin 5-HT1A dual-agonist profile. Journal of Medicinal Chemistry, 2011
Book Chapter
S. Zhou, Y. Yu, Synaptic Excitatory-Inhibitory Balance Underlying Efficient Neural Coding. Systems Neuroscience, Advances in Neurobiology, vol 21. Springer, 2018