369 citations · 992 across the 36 of their papers we have counts for
4 papers · 1 filter
An optimization-based approach to calculating neutrino flavor evolution
Eve Armstrong, Amol V. Patwardhan, Lucas Johns +3
We assess the utility of an optimization-based data assimilation (D.A.) technique for treating the problem of nonlinear neutrino flavor transformation in core collapse supernovae.…
Nonlinear Statistical Data Assimilation for HVC Neurons in the Avian Song System
Nirag Kadakia, Eve Armstrong, Daniel Breen +4
With the goal of building a model of the HVC nucleus in the avian song system, we discuss in detail a model of HVC projection neurons comprised of a somatic compartme…
HVC Interneuron Properties from Statistical Data Assimilation
Daniel Breen, Sasha Shirman, Eve Armstrong +2
Data assimilation (DA) solves the inverse problem of inferring initial conditions given data and a model. Here we use biophysically motivated Hodgkin-Huxley (HH) models of avian HV…
Model of the Songbird Nucleus HVC as a Network of Central Pattern Generators
Eve Armstrong, Henry D. I. Abarbanel
We propose a functional architecture of the adult songbird nucleus HVC in which the core element is a "functional syllable unit" (FSU). In this model, HVC is organized into FSUs, e…