Lab Overview

Welcome to the Murray Lab

Research in the lab, led by John D. Murray, focuses on investigating the dynamics and function of neural circuits, and their dysfunction in psychiatric and neurological disorders. 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.

Lab News & Upcoming Events

  • March 27: John will give a talk at the 2017 Cognitive Neuroscience meeting in San Francisco, in a symposium on "Working memory: sustained activity or dynamics?" [Link]
  • May 17: John will give a talk at the 2017 Biological Psychiatry meeting in San Diego, in a one-day satellite meeting on "Computational Psychiatry"  [Link]
  • May 23: John will give a talk at the 2017 SIAM Conference on Dynamical Systems in a minisymposium on "Computational Psychiatry"  [Link]

Principal Investigator

John D Murray, PhD

Assistant Professor of Psychiatry

Recent publications
  • Murray JD*, Jaramillo JH*, Wang X-J (2017) (* denotes equal contribution)   
    Working memory and decision making in a fronto-parietal circuit model.   
    BioRxiv 10.1101/104802   
    [DOI: 10.1101/104802]  
  • Lam NH, Borduqui T, Hallak J, Roque AC, Anticevic A, Krystal JH, Wang X-J, Murray JD (2017)  
    Effects of altered excitation-inhibition balance on decision making in a cortical circuit model.  
    BioRxiv 10.1101/100347  
    [DOI: 10.1101/100347] 
  • Murray JD, Bernacchia A, Roy NA, Constantinidis C, Romo R, Wang X-J (2017)  
    Stable population coding for working memory coexists with heterogeneous neural dynamics in prefrontal cortex. 
    Proceedings of the National Academy of Sciences 114:394  
    [DOI: 10.1073/pnas.1619449114]