Neural Models

    2023
  1. A Mathematical Study of the Efficacy of Possible Negative Feedback Pathways Involved in Neuronal Polarization
    Fan Bai, Richard Bertram, Bhargav R. Karamched
    Journal of Theoretical Biology, 571:111561, (2023).

    2. 2022
  2. Active Licking Shapes Cortical Taste Coding
    Camden Neese, Cecillia G. Bouaichi, Tom Needham, Martin Bauer, Richard Bertram, Roberto Vincis
    Journal of Neuroscience, 42: 8658-8669, (2022).

  3. A Closed-Loop Multi-Scale Model for Intrinsic Frequency-Dependent Regulation of Axonal Growth
    Fan Bai, Richard Bertram, Bhargav R. Karamched
    Mathematical Biosciences, 344: 108768, (2022).

    4. 2021
  4. Fast-Slow Analysis as a Technique for Understanding the Neuronal Response to Current Ramps
    Kelsey Gasior, Kirill Korshunov, Paul Q. Trombley, Richard Bertram
    Journal of Computational Neuroscience, doi: 10.1007/s10827-021-00799-0, (2021).

    5. 2020
  5. Spiking and Membrane Properties of Rat Olfactory Bulb Dopamine Neurons
    Kirill S. Korshunov, Laura J. Blakemore, Richard Bertram, Paul Q. Trombley
    Frontiers in Cellular Neuroscience, 14:60, doi: 10.3389/fncel.2020.00060, (2020).

    6. 2019
  6. Neural Networks in Health and Disease
    Richard Bertram and Richard L. Hyson
    Systems Medicine: Integrative Qualitative and Computational Approaches
    DOI: doi.org/10.1016/B978-0-12-801238-3.11470-9, (2019).

    7. 2018
  7. The Intrinsic Physiology of Inhibitory Neurons Changes Over Auditory Development
    Briana J. Carroll, Richard Bertram, Richard L. Hyson
    Journal of Neurophysiology, 119:290-304, (2018).

    8. 2017
  8. The Effects of GABAergic Polarity Changes on Episodic Neural Network Activity in Developing Neural Systems
    Wilfredo Blanco, Richard Bertram, Joel Tabak
    Frontiers in Computational Neuroscience, 11(88), doi: 10.3389/fncom.2017.00088, (2017).

    9. 2014
  9. The Contributions of Divisive and Subtractive Feedback in the Hodgkin-Huxley Model
    Sevgi Sengul, Robert Clewley, Richard Bertram, Joel Tabak
    Journal of Computational Neuroscience, 37:403-415, (2014).

    10. 2011
  10. Quantifying the Relative Contributions of Divisive and Subtractive Feedback to Rhythm Generation
    Joel Tabak, John Rinzel, Richard Bertram
    PLoS Computational Biology, 7(4):e1001124. doi:10.1371/journal.pcbi.1001124, (2011).

    11. 2010
  11. Mechanism for the Universal Pattern of Activity in Developing Neuronal Networks
    Joel Tabak, Michael Mascagni, Richard Bertram
    Journal of Neurophysiology, 103:2208-2221, (2010).

    12. 2009
  12. Correlation Analysis: A Tool for Comparing Relaxation-Type Models to Experimental Data
    Maurizio Tomaiuolo, Joel Tabak, Richard Bertram
    Methods in Enzymology, 467:1-22, (2009).

    13. 2008
  13. A Phantom Bursting Mechanism for Episodic Bursting
    Richard Bertram, Joseph Rhoads, Wendy P. Cimbora
    Bulletin of Mathematical Biology, 70:1979-1993, (2008).

    14. 1996
  14. Modeling N-Methyl-D-Aspartate-Induced Bursting in Dopamine Neurons
    Yue-Xian Li, Richard Bertram, and John Rinzel
    Neuroscience 71:397-410, (1996).

    15. 1993
  15. A Computational Study of the Effects of Serotonin on a Molluscan Burster Neuron
    Richard Bertram
    Biological Cybernetics, 69:257-267, (1993)