Data Assimilation for Verifying Models of Neurons and Networks
Presenter
October 18, 2016
Abstract
Using data assimilation tools built via methods of statistical physics, we discuss +ideas and applications to experimental data for estimating properties of Hodgkin-Huxley models of individual neuron biophysics. The experimental data comes primarily from nucleus HVC of the avain song production system.
We then discuss new tools for the analysis of networks of neurons using extracellular recordings and results from the theory of electrostatics.