This tutorial illustrates the use of data assimilation algorithms to estimate unobserved
variables and unknown parameters of conductance-based neuronal models. Modern data …

Bioelectronic medicine is driving the need for neuromorphic microcircuits that integrate raw
nervous stimuli and respond identically to biological neurons. However, designing such …

Model optimization in neuroscience has focused on inferring intracellular parameters from
time series observations of the membrane voltage and calcium concentrations. These …

Designing hardware accelerators for machine learning (ML) applications is a well-
researched problem. This article presents a tutorial regarding new computing architectures …