346 research outputs found

    Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification

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    Objective. The main goal of this work is to develop a model for multi-sensor signals such as MEG or EEG signals, that accounts for the inter-trial variability, suitable for corresponding binary classification problems. An important constraint is that the model be simple enough to handle small size and unbalanced datasets, as often encountered in BCI type experiments. Approach. The method involves linear mixed effects statistical model, wavelet transform and spatial filtering, and aims at the characterization of localized discriminant features in multi-sensor signals. After discrete wavelet transform and spatial filtering, a projection onto the relevant wavelet and spatial channels subspaces is used for dimension reduction. The projected signals are then decomposed as the sum of a signal of interest (i.e. discriminant) and background noise, using a very simple Gaussian linear mixed model. Main results. Thanks to the simplicity of the model, the corresponding parameter estimation problem is simplified. Robust estimates of class-covariance matrices are obtained from small sample sizes and an effective Bayes plug-in classifier is derived. The approach is applied to the detection of error potentials in multichannel EEG data, in a very unbalanced situation (detection of rare events). Classification results prove the relevance of the proposed approach in such a context. Significance. The combination of linear mixed model, wavelet transform and spatial filtering for EEG classification is, to the best of our knowledge, an original approach, which is proven to be effective. This paper improves on earlier results on similar problems, and the three main ingredients all play an important role

    Ampliando a abertura dos bancos de germoplasma da Embrapa: experiências e atividades em andamento.

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    Edição dos resumos do IV Seminário de Agroecologia do Distrito Federal e Entorno, Brasília/DF

    Distributional reaction time properties in the Eriksen task: marked differences or hidden similarities with the Simon task?

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    In conflict tasks, the irrelevant stimulus attribute needs to be suppressed for the correct response to be produced. In the Simon task, earlier researchers have proposed that this suppression is the reason that, after an initial increase, the interference effect decreases for longer RTs, as reflected by late, negative-going delta plots. This view has been challenged by observations of positive-going delta plots, even for long RTs, in other conflict tasks, despite a similar necessity for suppression. For late negative-going delta plots to be interpreted as reflecting suppression, a necessary, although maybe not sufficient, condition is that similar patterns should be observed for other conflict tasks. We reasoned that a similar suppression could be present, but hidden, in the Eriksen flanker task. By recording and analyzing electromyograms of the muscles involved in response execution, we could compute delta plots separately for trials that elicited a subthreshold incorrect response activation (partial error). Late negative-going delta plots were observable on partial-error trials, although they were weaker than for the Simon task, reducing the impact of this inversion on the overall distribution. We further showed that this pattern is modulated by time pressure. Those results indicate that mechanisms leading to negative-going delta plots, similar to those observed in the Simon task, are also at play in the Eriksen task. The link between negative-going delta plots and executive online control is discussed

    Coleta de germoplasma de leguminosas no Semi-Árido do Estado da Bahia.

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    A tradição das famílias rurais do semi-árido nordestino de produzir e guardar sua própria semente em casa tem se consolidado ao longo das décadas, através das práticas de conservação da diversidade agrícola, pela adaptação e seleção de materiais, troca e experimentação do germoplasma, com a comercialização do excedente de produção na comunidade ou em feiras livre. Com o objetivo de coletar essas variedades, ampliando a amostragem dos Bancos de Germoplasma de Feijão, Caupi e Fava, localizados na Embrapa, e identificando preferências das famílias dessa região realizou-se a expedição a Bahia, com apoio da EBDA. Foram coletadas amostras de 91 acessos de germoplasma de feijão, feijão de corda e fava, mantidos por agricultores locais, principalmente para consumo familiar e eventuais trocas com outros agricultores. Observou-se uma grande perda de variabilidade nos últimos anos, decorrente, principalmente, de alterações no regime de chuvas. Ficou evidente, também, a preferência desses consumidores por suas variedades tradicionais, seja por suas características de sabor, seja pelas qualidades agronômicas, e a necessidade de buscar meios para garantir a conservação, em melhores condições técnicas, dos materiais com características de interesse

    Detecting and correcting partial errors: Evidence for efficient control without conscious access

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    Appropriate reactions to erroneous actions are essential to keeping behavior adaptive. Erring, however, is not an all-or-none process: electromyographic (EMG) recordings of the responding muscles have revealed that covert incorrect response activations (termed "partial errors") occur on a proportion of overtly correct trials. The occurrence of such "partial errors" shows that incorrect response activations could be corrected online, before turning into overt errors. In the present study, we showed that, unlike overt errors, such "partial errors" are poorly consciously detected by participants, who could report only one third of their partial errors. Two parameters of the partial errors were found to predict detection: the surface of the incorrect EMG burst (larger for detected) and the correction time (between the incorrect and correct EMG onsets; longer for detected). These two parameters provided independent information. The correct(ive) responses associated with detected partial errors were larger than the "pure-correct" ones, and this increase was likely a consequence, rather than a cause, of the detection. The respective impacts of the two parameters predicting detection (incorrect surface and correction time), along with the underlying physiological processes subtending partial-error detection, are discussed

    Measurement of Vibrational Non-Equilibrium in a Supersonic Freestream Using Dual-Pump CARS

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    Measurements have been conducted at the University of Virginia Supersonic Combustion Facility of the flow in a constant area duct downstream of a Mach 2 nozzle, where the airflow has first been heated to approximately 1200 K. Dual-pump CARS was used to acquire rotational and vibrational temperatures of N2 and O2 at two planes in the duct at different downstream distances from the nozzle exit. Wall static pressures in the nozzle are also reported. With a flow of clean air, the vibrational temperature of N2 freezes at close to the heater stagnation temperature, while the O2 vibrational temperature is about 1000 K. The results are well predicted by computational fluid mechanics models employing separate "lumped" vibrational and translational/rotational temperatures. Experimental results are also reported for a few percent steam addition to the air and the effect of the steam is to bring the flow to thermal equilibrium
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