2,042 research outputs found
Efficient transfer entropy analysis of non-stationary neural time series
Information theory allows us to investigate information processing in neural
systems in terms of information transfer, storage and modification. Especially
the measure of information transfer, transfer entropy, has seen a dramatic
surge of interest in neuroscience. Estimating transfer entropy from two
processes requires the observation of multiple realizations of these processes
to estimate associated probability density functions. To obtain these
observations, available estimators assume stationarity of processes to allow
pooling of observations over time. This assumption however, is a major obstacle
to the application of these estimators in neuroscience as observed processes
are often non-stationary. As a solution, Gomez-Herrero and colleagues
theoretically showed that the stationarity assumption may be avoided by
estimating transfer entropy from an ensemble of realizations. Such an ensemble
is often readily available in neuroscience experiments in the form of
experimental trials. Thus, in this work we combine the ensemble method with a
recently proposed transfer entropy estimator to make transfer entropy
estimation applicable to non-stationary time series. We present an efficient
implementation of the approach that deals with the increased computational
demand of the ensemble method's practical application. In particular, we use a
massively parallel implementation for a graphics processing unit to handle the
computationally most heavy aspects of the ensemble method. We test the
performance and robustness of our implementation on data from simulated
stochastic processes and demonstrate the method's applicability to
magnetoencephalographic data. While we mainly evaluate the proposed method for
neuroscientific data, we expect it to be applicable in a variety of fields that
are concerned with the analysis of information transfer in complex biological,
social, and artificial systems.Comment: 27 pages, 7 figures, submitted to PLOS ON
Case 170: Pericardial fat necrosis
History: A 30-year-old man presented to our emergency department with acute pleuritic chest pain. He had no fever, dyspnea, or other symptoms, nor did he have a history of chest trauma. A physical examination yielded normal findings. Laboratory test results and electrocardiographic findings were normal. Axial chest computed tomography (CT) was performed
Verifique sus conocimientos sobre radiología de urgencias (3)
La presente entrega de la serie de Nursing sobre las pruebas complementarias es la tercera parte que complementa a las dos anteriores dedicadas a la radiología de urgencias, que trata de las situaciones clínicas y de las imágenes radiológicas más habituales obtenidas del estudio de alteraciones musculoesqueléticas. En la presente entrega se estudian las imágenes radiológicas relacionadas con alteraciones abdominales y torácicas habituales en el servicio de urgencias. Además, se presentan imágenes de tomografía computarizada correspondientes a situaciones clínicas que, por su prevalencia, se pueden producir en urgencias. Las tres entregas de Nursing dedicadas a las pruebas diagnósticas..
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