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  1. Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data

    Publication
    … modalities of neural data, make it a powerful tool for high-dimensional neural data analysis. We also introduce an extension of these methods, called the discriminative-generative …

  2. Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data

    Publication
    … modalities of neural data, make it a powerful tool for high-dimensional neural data analysis. We also introduce an extension of these methods, called the discriminative-generative …

  3. Hippocampal replay of experience at real-world speeds

    Publication
    Representations related to past experiences play a critical role in memory and decision-making processes. The rat hippocampus expresses these types of representations during sharp-wave ripple (SWR …

  4. Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice

    Publication
    Executing memory-guided behavior requires storage of information about experience and later recall of that information to inform choices. Awake hippocampal replay, when hippocampal neural ensembles briefly reactivate …

  5. Real-Time Point Process Filter for Multidimensional Decoding Problems Using Mixture Models

    Publication
    … decoding a rat position only drops by less than 9% and 4% in RMSE and 95% highest probability coverage area (HPD) performance metrics. Though the marked-point …

  6. A statistical framework to assess cross-frequency coupling while accounting for confounding analysis effects.

    Publication
    Cross frequency coupling (CFC) is emerging as a fundamental feature of brain activity, correlated with brain function and dysfunction. Many different types of CFC have been identified through …

  7. Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach.

    Publication
    … processes, which could be key to the development of closed-loop experiments and treatments.

  8. Efficient Decoding of Multi-Dimensional Signals from Population Spiking Activity Using a Gaussian Mixture Particle Filter.

    Publication
    New recording technologies and the potential for closed-loop experiments have led to an increasing demand for computationally efficient and accurate algorithms to decode population spiking activity in …

  9. A common goodness-of-fit framework for neural population models using marked point process time-rescaling

    Publication
    A critical component of any statistical modeling procedure is the ability to assess the goodness-of-fit between a model and observed data. For spike train models of …

  10. A procedure to increase the power of Granger-causal analysis through temporal smoothing.

    Publication
    BACKGROUND: How the human brain coordinates network activity to support cognition and behavior remains poorly understood. New high-resolution recording modalities facilitate a more detailed understanding of the …