The following software and hardware were used in the collection and organization of this dataset.

  • 1. Electrical Geodesics, Inc. (128-channel EEG equipment with Net Station software)
  • 2. LG stereoscopic TV with 3D polarized glasses (model no. 42LW5700-TA)
  • 3. E-Prime 2.0 (for stimulus experiment design)
  • 4. Autodesk 3D Max 2012 (for making 3DS stimulus)
  • 5. MATLAB 2010 (for simulation)
  • 6. IBM SPSS Statistics 20.0 (Statistical Package for Social Sciences) for data analysis
  • 7. Power Analysis of Sample Size (PASS) for sample size calculation Autodesk 3DStudioMax: 3DStudioMax (

was used for the preparation of 3D objects, which were used as stimuli in working memory and recognition memory tasks. The detail of tasks is provided in the experimental design section (Section 7.5).

E-Prime: E-Prime is psychology software for stimulus presentation in cognitive and behavioral research experiments ( eprime.cfm). This software allows the users to control time synchronization of stimulus onset, offset, participants’ responses, and the corresponding EEG data. All the tasks used during this dataset are explained in the experimental design section (Section 7.5). The details of the E-Prime program for each task are provided in the data description section.

Net Station: Net Station is EEG acquisition software, which was used for recording the EEG signals during the learning and memory tasks. Net Station allows connection with E-Prime software during running the experiments for synchronization of time information of stimulus and participants’ responses. The raw EEG recording can be processed in Net Station; its capabilities include filtering, segmentation, rereferencing, and exporting data to several other formats, e.g., .edf or .mat.

EGI300 Amplifier and EEG nets: The hardware including the EEG nets and amplifier was used from EGI Inc. ( The EEG net used contained 128 channels for recording of dense array EEG from all over the scalp surface locations.

MATLAB: MATLAB is a high-performance programming language for technical computing and coding for engineering problems. It provides an integrative environment to be used by engineers and scientists worldwide. The easy-to-use programming environment of MATLAB provides fast solutions to complex mathematical problems. The well-known disciplines of MATLAB programming are signal and image processing, communications and control systems, computational neuroscience and GUI programming, pattern recognition and machine learning. For beginners in neuroscience, the book MATLAB for Neuroscientists by Pascal Wallisch et al. can be consulted.

Statistical Package for Social Sciences: The SPSS was initially designed for social science problems by IBM. However, the software now includes many machine learning algorithms such as clustering and classification. SPSS is widely accepted for statistical analysis including engineering and neuroscience.

Power Analysis of Sample Size: PASS is a software package developed by NCSS, USA. The PASS software provides sample size tools over 680 statistical tests and confidence interval scenarios, validated with published research. The software has become the leading tool for sample size computation in clinical trials, as well as pharmaceutical and other medical research.

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