Claudia Lainscsek
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Explore the profile of Claudia Lainscsek including associated specialties, affiliations and a list of published articles.
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25
Citations
132
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Recent Articles
1.
Comstock L, Carvalho V, Lainscsek C, Fallah A, Sejnowski T
Brain Sci
. 2024 Sep;
14(9).
PMID: 39335391
Transcranial magnetic stimulation (TMS) has been widely used to study the mechanisms that underlie motor output. Yet, the extent to which TMS acts upon the cortical neurons implicated in volitional...
2.
Carvalho V, Mendes E, Fallah A, Sejnowski T, Comstock L, Lainscsek C
Front Hum Neurosci
. 2024 Jun;
18():1398065.
PMID: 38826617
Speech decoding from non-invasive EEG signals can achieve relatively high accuracy (70-80%) for strictly delimited classification tasks, but for more complex tasks non-invasive speech decoding typically yields a 20-50% classification...
3.
Lainscsek C, Salami P, Carvalho V, Mendes E, Fan M, Cash S, et al.
Chaos
. 2023 Dec;
33(12).
PMID: 38156987
Delay Differential Analysis (DDA) is a nonlinear method for analyzing time series based on principles from nonlinear dynamical systems. DDA is extended here to incorporate network aspects to improve the...
4.
Lainscsek C, Mendes E, Salgado G, Sejnowski T
Chaos
. 2023 Oct;
33(10).
PMID: 37832517
Differential equations serve as models for many physical systems. But, are these equations unique? We prove here that when a 3D system of ordinary differential equations for a dynamical system...
5.
Rungratsameetaweemana N, Lainscsek C, Cash S, Garcia J, Sejnowski T, Bansal K
Brain Commun
. 2022 Oct;
4(5):fcac234.
PMID: 36196085
Dynamic functional brain connectivity facilitates adaptive cognition and behaviour. Abnormal alterations within such connectivity could result in disrupted functions observed across various neurological conditions. As one of the most common...
6.
Lainscsek C, Cash S, Sejnowski T, Kurths J
Chaos
. 2021 Oct;
31(10):103108.
PMID: 34717330
Determining synchronization, causality, and dynamical similarity in highly complex nonlinear systems like brains is challenging. Although distinct, these measures are related by the unknown deterministic structure of the underlying dynamical...
7.
Mendes E, Lainscsek C, Letellier C
Chaos
. 2021 Sep;
31(8):083126.
PMID: 34470225
In 1994, Sprott [Phys. Rev. E 50, 647-650 (1994)] proposed a set of 19 different simple dynamical systems producing chaotic attractors. Among them, 14 systems have a single nonlinear term....
8.
Gonzalez C, Lainscsek C, Sejnowski T, Letellier C
Chaos
. 2020 Nov;
30(10):103113.
PMID: 33138467
Observability can determine which recorded variables of a given system are optimal for discriminating its different states. Quantifying observability requires knowledge of the equations governing the dynamics. These equations are...
9.
Lainscsek C, Rungratsameetaweemana N, Cash S, Sejnowski T
Chaos
. 2020 Jan;
29(12):121106.
PMID: 31893650
A chimera state is a spatiotemporal pattern of broken symmetry, where synchrony (coherent state) and asynchrony (incoherent state) coexist. Here, we report chimera states in electrocorticography recordings preceding, by several...
10.
Lainscsek C, Gonzalez C, Sampson A, Cash S, Sejnowski T
Chaos
. 2019 Nov;
29(10):101103.
PMID: 31675829
Most natural systems, including the brain, are highly nonlinear and complex, and determining information flow among the components that make up these dynamic systems is challenging. One such example is...