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Ian Cone, Ph.D.

Titles and Appointments

Assistant Professor

Schools
Medical School
Departments
Peter O'Donnell Jr. Brain Institute | Biomedical Engineering
  • Biography

    Ian Cone joined UT Southwestern Medical Center in September 2026 as an Assistant Professor in the Peter O'Donnell Jr. Brain Institute, with a secondary appointment in the Department of Biomedical Engineering. He leads the Computational Neuroscience (CoNe) Lab in the Program in Memory Longevity. Prior to starting his lab at UT Southwestern, Ian completed his postdoctoral research at Imperial College London and the University of Oxford, under Dr. Claudia Clopath and Dr. Rui Ponte Costa. Ian has a Ph.D. in Applied Physics from Rice University, where he was supervised by Dr. Harel Shouval.

    Dr. Cone’s research is broadly focused on using theoretical and computational models to study the relationship between synaptic plasticity, credit assignment, and network function. The CoNe lab is particularly interested in how single-cell learning rules in hippocampus lead to the emergence of complex cognitive maps, and how dysfunction in the underlying cellular mechanisms can disrupt the formation and maintenance of these maps. The lab works closely with experimental neuroscientists on a range of topics related to learning and memory, using its models to create quantitative, testable predictions for experiments. A full list of Dr. Cone's publications is available on his Google Scholar page.

  • Research Interest
    • Biologically plausible learning rules in artificial neural networks
    • Cognitive maps and predictive representations
    • Hippocampal learning and memory, BTSP
    • Network and behavioral consequences of plasticity dysfunction
    • Synaptic plasticity and credit assignment
  • Publications

    Star Featured Publications

    Learning to express reward prediction error-like dopaminergic activity requires plastic representations of time.
    Cone I, Clopath C, Shouval HZ, Nat Commun 2024 Jul 15 1 5856
    Latent representations in hippocampal network model co-evolve with behavioral exploration of task structure.
    Cone I, Clopath C, Nat Commun 2024 Jan 15 1 687
    Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network.
    Cone I, Shouval HZ, Elife 2021 Mar 10
    Behavioral Time Scale Plasticity of Place Fields: Mathematical Analysis.
    Cone I, Shouval HZ, Front Comput Neurosci 2021 15 640235
    Evolution of Metastable Defects and Its Effect on the Electronic Properties of MoS2 Films.
    Precner M, Polakovic T, Qiao Q, Trainer DJ, Putilov AV, Di Giorgio C, Cone I, Zhu Y, Xi XX, Iavarone M, Karapetrov G, Sci Rep 2018 Apr 8 1 6724