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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. 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

  • Warren Pettine was awarded the Intelligence Community Postdoctoral Research Fellowship. Congratulations, Warren!
  • Max Shinn was awarded the 2021 Neuroscience Doctoral Thesis Prize at Yale. Congratulations, Max!
  • Two PhD students from the lab have graduated Spring 2021: Max Shinn and Daniel Ehrlich. Congratulations, Max and Daniel!

Upcoming Events

  • December 2021: John will give a talk in at the Institute for Computational and Experimental Research in Mathematics (ICERM) at Brown University, in the Transdisciplinary Research in the Principles of Data Science (TRIPODS) workshop on "Geometric and Topological Methods in Data Science'', December 16-17, 2021.

Selected recent publications

  • Lam NH, Borduqui T, Hallak J, Roque AC, Anticevic A, Krystal JH, Wang X-J, Murray JD (In Press)
    Effects of altered excitation-inhibition balance on decision making in a cortical circuit model.
    Journal of Neuroscience

  • Shinn M, Lee D, Murray JD†, Seo H† (2021) († denotes co-corresponding)
    Transient neuronal suppression for exploitation of new sensory evidence.
    Nature Communications (In Press)
    [DOI: 10.1101/2020.11.29.403089]

  • Pettine WW, Raman DV, Redish AD†, Murray JD† († denotes co-corresponding) (2021)
    Human latent-state generalization through prototype learning with discriminative attention.
    PsyArXiv ku4fr
    [DOI: 10.31234/]

  • Ito T, Murray JD (2021)
    Multi-task representations in human cortex transform along a sensory-to-motor hierarchy.
    bioRxiv 10.1101/2021.11.29.470432
    [DOI: 10.1101/2021.11.29.470432]

  • Li D, Constantinidis C, Murray JD (2021)
    Trial-to-trial variability of spiking delay activity in prefrontal cortex constrains burst-coding models of working memory.
    Journal of Neuroscience 41:8928
    [DOI: 10.1523/JNEUROSCI.0167-21.2021]

  • Burt JB, Preller KH, Demirtas M, Ji JL, Krystal JH, Vollenweider FX, Anticevic A, Murray JD (2021)
    Transcriptomics-informed large-scale cortical model captures topography of pharmacological neuroimaging effects of LSD.
    eLife 10:e69320
    [DOI: 10.7554/eLife.69320]

  • Gu QL, Lam NH, Wimmer RD, Halassa MM, Murray JD (2021)
    Computational circuit mechanisms underlying thalamic control of attention.
    bioRxiv 10.1101/2020.09.16.300749
    [DOI: 10.1101/2020.09.16.300749]

  • Ehrlich DB, Murray JD (2021)
    Geometry of neural computations unifies working memory and planning.
    bioRxiv 10.1101/2021.02.01.429156
    [DOI: 10.1101/2021.02.01.429156]

  • Ehrlich DB*, Stone JT*, Brandfonbrener D, Atanasov A, Murray JD (2021) (* denotes equal contribution)
    PsychRNN: an accessible and flexible Python package for training recurrent neural network models on cognitive tasks.
    eNeuro 0427-20.2020
    [DOI: 10.1523/ENEURO.0427-20.2020]

  • Shinn M, Lee D, Murray JD†, Seo H† (2020) († denotes co-corresponding)
    Transient neuronal suppression for exploitation of new sensory evidence.
    bioRxiv 10.1101/2020.11.29.403089
    [DOI: 10.1101/2020.11.29.403089]

  • 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.
    bioRxiv 10.1101/2020.08.25.265546
    [DOI: 10.1101/2020.08.25.265546]

  • 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 9:e53664
    [DOI: 10.7554/eLife.53664] [Pubmed]

  • 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 40:7326
    [DOI: 10.1523/JNEUROSCI.0544-20.2020] [Pubmed]

  • Shinn M*, Lam NH*, Murray JD (2020) (* denotes equal contribution)
    A flexible framework for simulating and fitting generalized drift-diffusion models.
    eLife 9:e56938
    [DOI: 10.7554/eLife.56938] [Pubmed]

  • Burt JB, Helmer M, Shinn M, Anticevic A, Murray JD (2020)
    Generative modeling of brain maps with spatial autocorrelation.
    NeuroImage 220:117038
    [DOI 10.1016/j.neuroimage.2020.117038] [Pubmed]