Ian Stevenson

Associate Professor

Psychological Sciences

---

Education

Ph.D., 2011, Northwestern University

---

Research Interests

• Computational Neuroscience
• Statistical Analysis of Neural Data
• Adaptation and Plasticity

---

Research Interests

A central challenge in neuroscience is understanding how information is represented and processed in the brain. Prof. Stevenson’s work addresses this challenge by developing computational tools to describe and decipher neural activity. His work focuses on 1) modeling neural dynamics, interactions, and adaptation and 2) linking neural data with perception, behavior, and learning.

---

Teaching

Undergraduate

• PSYC 2100WQ

Graduate

• PSYC 5104
• PSYC 5270

---

Publications

Recent

Google Scholar

Representative

Stevenson IH (2018) Omitted variable bias in GLMs of neural spiking activity. Neural Computation 30 (12), 3227-3258. [link]

Ghanbari A, Malyshev A, Volgushev M, and Stevenson IH (2017) Estimating short-term synaptic plasticity from pre- and postsynaptic spiking. PLoS Computational Biology 13(9): e1005738. [link]

M Volgushev, V Ilin, & IH Stevenson (2015). Identifying and tracking simulated synaptic inputs from neuronal firing: insights from in vitro experiments. PLoS Computational Biology 11 (3), e1004167. [link]

G Agarwal, IH Stevenson, A Berényi, K Mizuseki, G Buzsáki, & FT Sommer (2014). Spatially distributed local fields in the hippocampus encode rat position. Science 344 (6184), 626-630. [link]

HL Fernandes, IH Stevenson, AN Phillips, MA Segraves, & KP Körding (2014). Saliency and saccade encoding in the frontal eye field during natural scene search, Cerebral Cortex 24 (12), 3232-3245. [link]

IH Stevenson, BM London, ER Oby, NA Sachs, J Reimer, B Englitz, SV David, SA Shamma, TJ Blanche, K Mizuseki, A Zandvakili, NG Hatsopoulos, LE Miller, & KP Kording (2012). Functional connectivity and tuning curves in populations of simultaneously recorded neurons, PLoS Computational Biology 8(11): e1002775. [link]

IH Stevenson & KP Kording (2011). How advances in neural recording affect data analysis, Nature Neuroscience 14: 139-142. [link]