14 citations · 64 across the 19 of their papers we have counts for
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Computational model of avian nervous system nuclei governing learned song
Eve Armstrong
The means by which neuronal activity yields robust behavior is a ubiquitous question in neuroscience. In the songbird, the timing of a highly stereotyped song motif is attributed t…
Statistical data assimilation for estimating electrophysiology simultaneously with connectivity within a biological neuronal network
Eve Armstrong
A method of data assimilation (DA) is employed to estimate electrophysiological parameters of neurons simultaneously with their synaptic connectivity in a small model biological ne…
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…