We demonstrate the ability of statistical data assimilation (SDA) to identify the measurements
required for accurate state and parameter estimation in an epidemiological model for the …

Representing the biophysics of neuronal dynamics and behavior offers a principled analysis-
by-synthesis approach toward understanding mechanisms of nervous system functions. We …

Epithelial-mesenchymal transition (EMT) is a fundamental biological process that plays a
central role in embryonic development, tissue regeneration, and cancer metastasis …

A method of data assimilation (DA) is employed to estimate electrophysiological parameters
of neurons simultaneously with their synaptic connectivity in a small model biological …

Motivated by the parsimony and robustness of the biological brain at computing, engineers
have, over the last four decades, been emulating neurophysiology in silicon, ie …

Epithelial-mesenchymal transition (EMT) is a biological process that plays a central role in
embryonic development, tissue regeneration, and cancer metastasis. Transforming growth …

The paper presents the results of a comparative designs analysis of known neuromorphic
FEE (Front End Electronics) for the primary adaptive time-frequency conversion of sound …

Computational models of cell signaling pathways are valuable tools for understanding
cellular mechanisms and predicting cellular responses during key biological processes. A …

Traditionally, characterizing many properties of biological or silicon neural systems has
been expensive, laborious, or impossible. Conductance models describing how properties …

This paper substantiates the essential role of spacetime dependence of the information
representation form in the development of intellectual energy-efficient and noise-resistant …