• Publications
  • Influence
Model of the songbird nucleus HVC as a network of central pattern generators.
TLDR
The transition between modes may be governed by the biophysical mechanism of neuromodulation of songbird nucleus HVC, in which the core element is a "functional syllable unit" (FSU).
A unifying view of synchronization for data assimilation in complex nonlinear networks.
TLDR
A general framework for the tasks involved in the "inverse" problem of determining properties of a model built to represent measured output from physical, biological, or other processes when the measurements are noisy, the model has errors, and the state of the model is unknown when measurements begin is described.
Nonlinear statistical data assimilation for HVC$$_{\mathrm{RA}}$$RA neurons in the avian song system
TLDR
A model of HVC nucleus comprised of a somatic compartment with fast Na and K currents and a dendritic compartment with slower Ca dynamics, which qualitatively exhibits many observed electrophysiological behaviors is discussed.
Identifying the measurements required to estimate rates of COVID-19 transmission, infection, and detection, using variational data assimilation
TLDR
The ability of statistical data assimilation to identify the measurements required for accurate state and parameter estimation in an epidemiological model for the novel coronavirus disease COVID-19 is demonstrated, to exemplify the power of SDA to determine what properties of measurements will yield estimates of unknown model parameters to a desired precision.
Nonlinear Statistical Data Assimilation for HVC$_{\text{RA}}$ Neurons in the Avian Song System
TLDR
A model of HVC projection neurons comprised of a somatic compartment with fast Na and K currents and a dendritic compartment with slower Ca dynamics, which qualitatively exhibits many observed electrophysiological behaviors is discussed.
HVC Interneuron Properties from Statistical Data Assimilation
TLDR
This work uses biophysically motivated Hodgkin-Huxley (HH) models of avian HVCI neurons, experimentally obtained recordings of these neurons, and the data assimilation algorithm to infer the full set of parameters and a minimal set of ionic currents precisely reproducing the observed waveform information.
An optimization-based approach to calculating neutrino flavor evolution
Author(s): Armstrong, Eve; Patwardhan, Amol V; Johns, Lucas; Kishimoto, Chad T; Abarbanel, Henry DI; Fuller, George M
Statistical data assimilation for estimating electrophysiology simultaneously with connectivity within a biological neuronal network.
TLDR
This paper offers a proof-of-concept that DA has the potential to inform laboratory designs for estimating properties in small and isolatable functional circuits.
...
...