Ian H. Stevenson, Ph.D.
Affiliations: | University of Connecticut, Storrs, CT, United States |
Area:
ComputationWebsite:
stevenson.lab.uconn.eduGoogle:
"Ian Stevenson"Mean distance: 14.05 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorKonrad P. Kording | grad student | 2006-2011 | Northwestern | |
(Probabilistic Models of Interactions between Neurons.) | ||||
Bruno A. Olshausen | post-doc | 2011-2013 | UC Berkeley |
Children
Sign in to add traineeAbed Ghanbari | grad student | University of Connecticut | |
Naixin Ren | grad student | University of Connecticut | |
Ganchao Wei | grad student | University of Connecticut |
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Publications
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Wei G, Stevenson IH. (2023) Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability. Neural Computation. 1-22 |
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 |