Search Results for author:
Found 5 papers, 1 papers with code
Deep Cross-Subject Mapping of Neural Activity
In this paper, we consider the problem of cross-subject decoding, where neural activity data collected from the prefrontal cortex of a given subject (destination) is used to decode motor intentions from the neural activity of a different subject (source).
Cross-subject Decoding of Eye Movement Goals from Local Field Potentials
We propose an efficient data-driven estimation approach for linear transfer functions that uses the first and second order moments of the class-conditional distributions.
Minimax-optimal decoding of movement goals from local field potentials using complex spectral features
We consider the problem of predicting eye movement goals from local field potentials (LFP) recorded through a multielectrode array in the macaque prefrontal cortex.
Distributed Proportional-Fairness Control in MicroGrids via Blockchain Smart Contracts
Residential microgrids (MGs) may host a large number of Distributed Energy Resources (DERs).
Multiagent Systems
Distributed Estimation of the Operating State of a Single-Bus DC MicroGrid without an External Communication Interface
We propose a decentralized Maximum Likelihood solution for estimating the stochastic renewable power generation and demand in single bus Direct Current (DC) MicroGrids (MGs), with high penetration of droop controlled power electronic converters.
