User profiles for Lucas Parra
Lucas C. ParraProfessor of Biomedical Engineering, City College of New York, CUNY Verified email at ccny.cuny.edu Cited by 21855 |
Convolutive blind separation of non-stationary sources
Acoustic signals recorded simultaneously in a reverberant environment can be described
as sums of differently convolved sources. The task of source separation is to identify the …
as sums of differently convolved sources. The task of source separation is to identify the …
Cellular effects of acute direct current stimulation: somatic and synaptic terminal effects
Key points • The diversity of cellular targets of direct current stimulation (DCS), including
somas, dendrites and axon terminals, determine the modulation of synaptic efficacy. • Axon …
somas, dendrites and axon terminals, determine the modulation of synaptic efficacy. • Axon …
Recipes for the linear analysis of EEG
In this paper, we describe a simple set of “recipes” for the analysis of high spatial density EEG.
We focus on a linear integration of multiple channels for extracting individual components …
We focus on a linear integration of multiple channels for extracting individual components …
Optimized multi-electrode stimulation increases focality and intensity at target
Transcranial direct current stimulation (tDCS) provides a non-invasive tool to elicit
neuromodulation by delivering current through electrodes placed on the scalp. The present clinical …
neuromodulation by delivering current through electrodes placed on the scalp. The present clinical …
Low-intensity electrical stimulation affects network dynamics by modulating population rate and spike timing
Clinical effects of transcranial electrical stimulation with weak currents are remarkable
considering the low amplitude of the electric fields acting on the brain. Elucidating the processes …
considering the low amplitude of the electric fields acting on the brain. Elucidating the processes …
Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation
10.7554/eLife.18834.001 Transcranial electric stimulation aims to stimulate the brain by
applying weak electrical currents at the scalp. However, the magnitude and spatial distribution of …
applying weak electrical currents at the scalp. However, the magnitude and spatial distribution of …
[HTML][HTML] Inter-individual variation during transcranial direct current stimulation and normalization of dose using MRI-derived computational models
Background: Transcranial Direct Current Stimulation (tDCS) is a non-invasive, versatile, and
safe neuromodulation technology under investigation for the treatment of neuropsychiatric …
safe neuromodulation technology under investigation for the treatment of neuropsychiatric …
Convolutive blind source separation methods
In this chapter, we provide an overview of existing algorithms for blind source separation of
convolutive audio mixtures. We provide a taxonomy in which many of the existing algorithms …
convolutive audio mixtures. We provide a taxonomy in which many of the existing algorithms …
Geometric source separation: Merging convolutive source separation with geometric beamforming
Convolutive blind source separation and adaptive beamforming have a similar goal-extracting
a source of interest (or multiple sources) while reducing undesired interferences. A benefit …
a source of interest (or multiple sources) while reducing undesired interferences. A benefit …
List-mode likelihood: EM algorithm and image quality estimation demonstrated on 2-D PET
L Parra, HH Barrett - IEEE transactions on medical imaging, 1998 - ieeexplore.ieee.org
Using a theory of list-mode maximum-likelihood (ML) source reconstruction presented recently
by Barrett et al. (1997), this paper formulates a corresponding expectation-maximization (…
by Barrett et al. (1997), this paper formulates a corresponding expectation-maximization (…