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The dataset recorded from the field included true gradients of environmental changes.
The performance of this algorithm was evaluated on a VEP dataset recorded from 20 subjects: 10 are alcoholic and 10 are non-alcoholic.
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We therefore applied the prediction analysis based on directional phase fields to experimental datasets recorded from CA1 place cells (Mizuseki et al., 2014).
This smaller dataset recorded 295,108 inpatients from the Stockholm area of Sweden over two years.
For example, records from 1991 made up 5.1% of the total original dataset and 3.9% of the analyzed dataset; records from 2010 made up 4.8% of the original dataset and 5.4% of the analyzed dataset (Additional file 1: Table S1).
The four datasets were recorded from 4 healthy subjects and sampled from 59 electrodes which were distributed over the head, with each dataset containing 400 sampling points.
All analysis are performed on a large real-world dataset recording all purchases from millions of customers across the west coast of Italy.
The problem seems to be preparing the experiments for the new data while simultaneously publishing all the important results from the unique dataset we have already recorded from the first run.
This work extends the prior literature by providing a comprehensive assessment of IOA evaluated on an exceptionally large dataset of unselected EEG recorded from a NICU covering a realistic spectrum of etiologies.
To test this possibility, we examined a dataset of 599 single units recorded from the ventral midbrain of mice (n = 5, strongly biased towards recordings from GABAergic neurons in the SN, 'Materials and methods') performing a classical trace conditioning task described previously (Pan et al., 2013).
The non-stereo dataset contained close-talking utterances recorded from the distance of 25 cm and distant-talking utterances recorded from various positions in a room.
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