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A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
TLDR
We propose a statistical framework based on the point process likelihood function to relate a neuron's spiking probability to three typical covariates: the neuron's own spiking history, concurrent ensemble activity, and extrinsic covariates such as stimuli or behavior. Expand
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Hippocampal “Time Cells” Bridge the Gap in Memory for Discontiguous Events
The hippocampus is critical to remembering the flow of events in distinct experiences and, in doing so, bridges temporal gaps between discontiguous events. Here, we report a robust hippocampalExpand
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Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering
TLDR
We use the Bayes' rule Chapman-Kolmogorov paradigm with a linear state equation and point process observation models to derive adaptive filters appropriate for estimation from neural spike trains. Expand
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Coalescence and Fragmentation of Cortical Networks during Focal Seizures
Epileptic seizures reflect a pathological brain state characterized by specific clinical and electrical manifestations. The proposed mechanisms are heterogeneous but united by the supposition thatExpand
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Analysis of between-trial and within-trial neural spiking dynamics.
TLDR
We present a state-space generalized linear model (SS-GLM) to formulate a point process representation of between-trial and within-trial neural spiking dynamics. Expand
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Network inference with confidence from multivariate time series.
TLDR
In this manuscript, we describe a principled and systematic procedure for the inference of functional connectivity networks from multivariate time series data. Expand
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Emergence of Persistent Networks in Long-Term Intracranial EEG Recordings
Over the past two decades, the increased ability to analyze network relationships among neural structures has provided novel insights into brain function. Most network approaches, however, focus onExpand
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General-purpose filter design for neural prosthetic devices.
TLDR
We propose a coherent estimation framework for brain-driven prosthetic devices driven by action potentials, local field potentials (LFPs), electrocorticography (ECoG), electroencephalography (EEG), electromyography (EMG) and optical measurements. Expand
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Human seizures self-terminate across spatial scales via a critical transition
Why seizures spontaneously terminate remains an unanswered fundamental question of epileptology. Here we present evidence that seizures self-terminate via a discontinuous critical transition orExpand
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