Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties.

ABSTRACT: Real-time estimation of dynamical characteristics of thalamocortical cells, such as dynamics of ion channels and membrane potentials, is useful and essential in the study of the thalamus in Parkinsonian state. However, measuring the dynamical properties of ion channels is extremely challenging experimentally and even impossible in clinical applications. This paper presents and evaluates a real-time estimation system for thalamocortical hidden properties. For the sake of efficiency, we use a field programmable gate array for strictly hardware-based computation and algorithm optimization. In the proposed system, the FPGA-based unscented Kalman filter is implemented into a conductance-based TC neuron model. Since the complexity of TC neuron model restrains its hardware implementation in paral

SUBMITTER: Yang S 

PROVIDER: S-EPMC5220381 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature