Welcome to the Murray Lab
Research in the lab, led by John D. Murray, focuses on investigating the dynamics and function of neural circuits. To investigate these issues, we develop modeling, theoretical, and data-analytic approaches to systems neuroscience, in close collaboration with experimentalists. We build biophysically-based neural circuit models that span levels of scale and complexity, ranging from detailed microcircuitry supporting cognitive function, to large-scale brain dynamics. Furthermore, we leverage computational insights from models to advance the study of disorders such as schizophrenia, in a framework for Computational Psychiatry.
- The first two PhD students from the lab graduated in 2020: Norman Lam and Josh Burt. Congratulations Norman and Josh!
Selected recent publications
- Helmer H, Warrington SD, Mohammadi-Nejad A, Ji JL, Howell A, Rosand B, Anticevic A, Sotiropoulos SN, Murray (2020)
On stability of Canonical Correlation Analysis and Partial Least Squares with application to brain-behavior associations.
- Cavanagh SE*, Lam NH*, Murray JD†, Hunt LT†, Kennerley SW† (2020) (* denotes equal contribution) († denotes co-corresponding)
A circuit mechanism for decision making biases and NMDA receptor hypofunction.
eLife (In Press)
- Shinn M, Ehrlich DB, Lee D, Murray JD†, Seo H† (2020) († denotes co-corresponding)
Confluence of timing and reward biases in perceptual decision-making dynamics.
Journal of Neuroscience (In Press)
- Shinn M*, Lam NH*, Murray JD (2020) (* denotes equal contribution)
A flexible framework for simulating and fitting generalized drift diffusion models.
- Burt JB, Helmer M, Shinn M, Anticevic A, Murray JD (2020)
Generative modeling of brain maps with spatial autocorrelation.
[DOI 10.1016/j.neuroimage.2020.117038] [Pubmed]