Ian H. Stevenson, Ph.D.

University of Connecticut, Storrs, CT, United States 
"Ian Stevenson"
Mean distance: 14.05 (cluster 29)


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Konrad P. Kording grad student 2006-2011 Northwestern
 (Probabilistic Models of Interactions between Neurons.)
Bruno A. Olshausen post-doc 2011-2013 UC Berkeley
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Ren N, Wei G, Ghanbari A, et al. (2022) Predictable fluctuations in excitatory synaptic strength due to natural variation in presynaptic firing rate. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Wei G, Stevenson IH. (2021) Tracking Fast and Slow Changes in Synaptic Weights From Simultaneously Observed Pre- and Postsynaptic Spiking. Neural Computation. 33: 2682-2709
Ren N, Ito S, Hafizi H, et al. (2020) Model-based detection of putative synaptic connections from spike recordings with latency and type constraints. Journal of Neurophysiology
Ghanbari A, Ren N, Keine C, et al. (2020) Modeling the short-term dynamics of excitatory spike transmission. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Sadeghi M, Zhai X, Stevenson IH, et al. (2019) A neural ensemble correlation code for sound category identification. Plos Biology. 17: e3000449
Ghanbari A, Lee CM, Read HL, et al. (2019) Modeling stimulus-dependent variability improves decoding of population neural responses. Journal of Neural Engineering
Stevenson IH. (2018) Omitted Variable Bias in GLMs of Neural Spiking Activity. Neural Computation. 1-32
Ghanbari A, Malyshev A, Volgushev M, et al. (2017) Estimating short-term synaptic plasticity from pre- and postsynaptic spiking. Plos Computational Biology. 13: e1005738
Stevenson IH. (2016) Flexible models for spike count data with both over- and under- dispersion. Journal of Computational Neuroscience
Volgushev M, Ilin V, Stevenson IH. (2015) Identifying and tracking simulated synaptic inputs from neuronal firing: insights from in vitro experiments. Plos Computational Biology. 11: e1004167
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