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Cognitive Systems Research

ISSN: 1389-0417

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Datasets associated with articles published in Cognitive Systems Research

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1970
2024
1970 2024
5 results
  • Data for: Belief in reasoning
    Experiment 1: Survey Answers 2014 (Megan Buuron).xlsx, Appendix Dissertation V2.docx Experiment 2: belief-paper-(Sander Eldijk)-data.zip
    • Dataset
  • Data for: A Performance Comparison between Shallow and Deeper Neural Networks Supervised Classification of Tomosynthesis Breast Lesions Images
    Source code of the employed procedures for image processing and features extraction.
    • Dataset
  • Data for: Synchronization and fractal scaling as resources for cognitive control
    Response times, keypress durations, and sinusoidal ITI and ISI stimuli from the three experiments described in the article "Synchronization and fractal scaling as resources for cognitive control". Please see the article for more information about the dataset, or contact the corresponding author at john.holden@uc.edu with specific questions. The sheet titled TE_RT_RawData contains raw temporal estimates, in milliseconds, for each of the 50 participants. One participants 1100 trials in each column. The first 10 columns correspond to the 10 participants in the Constant ITI condition, columns 11-20 contain data for the High Frequency sine, columns 21-30 contain the Low Frequency data, columns 31-40 contain the Both Frequencies data, and the remaining 10 columns contain the random data. The sheet entitled TE_DR_RawData contains the key-press durations for each participant, in the order corresponding to the order of the temporal estimates. The Simple Reaction data is organized the same way, but each condition used 15 participants, so the condition columns are 1-15 = Constant, 16-30 = High Frequency, 31-45 = Low Frequency, 46-60 = Both Frequencies, and 61-75 = Random ITIs. The SRT key-press durations use the same organization. The ITI/ISI stimuli appear in the TE and SRT SINE input sheet, the dyad temporal estimation data in the DYADTE_RT_RawData. NOTE that the Left Hand is in data rows 1:2:2199, which corresponds to odd spreadsheet rows 3, 5, 7, etc. The Right Hand data is in data rows 2:2:2200, corresponding to even spreadsheet rows 4, 6, 8 etc. Negative values in the dyadic data indicate miscued trials, and should be treated as positive TE values in analyses. No negative values should appear in the Individual temporal estimation or simple reaction trials. The Dyad ITI stimuli appear in the DYADITIs sheet, along with a normalized period 40 sine wave that was used for the global synchronization analysis.
    • Dataset
  • Data for: Semantic Segmentation via Highly Fused Convolutional Network with Multiple Soft Cost Functions
    This is the source code of algorithms proposed in paper "Semantic Segmentation via Highly Fused Convolutional Network with Multiple Soft Cost Functions"
    • Dataset
  • Data for: Measuring Concept Semantic Relatedness through Common Spatial Pattern Feature Extraction on EEG Signals
    This files correspond to the EEG samples measured on 18 individuals while they watched 150 pairs of nouns. The task consisted in determining if these pairs were semantically related or not. Nouns were presented in 5 blocks constituting 30 pairs each in a counterbalanced form, that is, a word was presented as a primer in the case where there is semantic relationship, and then the same word is used as a target, but in this case there is no semantic relationship. The participants have an average of 27 years old, have at least a bachelor degree, and Spanish is their native language—the test was carried out in Spanish. Each one of the participants declared not currently being under any medical treatment, and not having consumed any alcoholic substance for at least 24 hours before the experiment. The distribution of samples is as follows: 7 Women: S2, S3, S4, S11, S13, S16, S18 11 Men: S1, S5, S6, S7, S8, S9, S10, S12, S14, S15, S17 An Emotiv EPOC device was used for EEG signals acquisition. This device has 14 electrodes positioned according to the system 10–20 [27] in the following regions: AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8 and AF4, as shown in Figure 5, with a sampling rate of 128 Hz. Sampling resolution is 16 bits, from which 14 are effective, and 2 are used to identify and discard noise. The sampling bandwidth was 0.2–45 Hz, with digital cut filters at 50 and 60 Hz. See the included file "dataset description.docx" for detailed information on these files.
    • Dataset