Design and Analysis of a Relational Database for Behavioral Experiments Data Processing

Kraleva, Radoslava; Kralev, Velin; Sinyagina, Nina; Koprinkova–Hristova, Petia; Bocheva, Nadejda

doi:10.3991/ijoe.v14i02.7988

Cited by 27 publications

(21 citation statements)

References 24 publications

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“…The raw data was collected in a relational database [14]. It allowed us to process all sensors data in order to extract only the records from the presentation of a stimulus on the screen to the mouse button press.…”

Section: Data Processingmentioning

confidence: 99%

STDP Plasticity in TRN Within Hierarchical Spike Timing Model of Visual Information Processing

Koprinkova–Hristova

Bocheva

Nedelcheva

et al. 2020

IFIP Advances in Information and Communication Technology

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We investigated age related synaptic plasticity in thalamic reticular nucleus (TRN) as a part of visual information processing system in the brain. Simulation experiments were performed using a hierarchical spike timing neural network model in NEST simulator. The model consists of multiple layers starting with retinal photoreceptors through thalamic relay, primary visual cortex layers up to the lateral intraparietal cortex (LIP) responsible for decision making and preparation of motor response. All synaptic inter-and intra-layer connections of our model are structured according to the literature information. The present work extends the model with spike timing dependent plastic (STDP) synapses within TRN as well as from visual cortex to LIP area. Synaptic strength changes were forced by teaching signal typical for three different age groups (young, middle and elderly) determined experimentally from eye movement data collected by eye tracking device from human subjects preforming a simplified simulated visual navigation task. Keywords: Spike timing neural model • Spike timing dependent plasticity • Visual system • Decision making • Saccade generation This work was financially supported by the Bulgarian Science Fund, grant No DN02-3-2016 "Modeling of voluntary saccadic eye movements during decision making".

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Section: Data Processingmentioning

confidence: 99%

STDP Plasticity in TRN Within Hierarchical Spike Timing Model of Visual Information Processing

Koprinkova–Hristova

Bocheva

Nedelcheva

et al. 2020

IFIP Advances in Information and Communication Technology

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“…The development of the MVSEM (modelling of voluntary saccadic eye movements) web service will be briefly presented in this section. This web service will provide data from the MVSEMDM database, which is described in detail in [1]. The web service has been developed with the integrated development environment -Visual Studio (www.visualstudio.com).…”

Section: Development and Use Of The Mvsem Web Servicementioning

confidence: 99%

“…Also, these data can be accessed directly through the database management system -DBMS. This approach is used in [1], and the current work is a further development ensuing from it. Another approach through which data can be shared is based on web services.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of a Web Service based Approach for Experimental Data Sharing

et al. 2018

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This paper presents the results obtained from a comparative analysis of two methods for experimental data sharing. Several works related to the topic and some approaches for processing data have been discussed. Different technolgoies related to the web services, ways of using them and the areas of their application are analyzed. For the purposes of the study, a web service for retrieving specific data from a behavioral experiments database was developed.The methodology and conditions for conducting the experiments are described. Two different indicators are analyzed, respectively: time to retrieve the data from a database and iteration time across all records through one loop. The results show that when retrieving thousands of records both web service based approach and an approach based on a remote database server can be used. However, when retrieving millions of records, the fastest approach was the one that uses remote database server. The obtainedresultsshow that the dynamic arrays (containing strings) iterated much faster across all data records than the dataset approach.

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“…Our aim is to model the data so that the result set is easy to analyze. In the present study, we modeled the experimental data according to the relational model [1]- [4], but used client datasets [5] to store, process, and analyze the information. Thus, the summarized experimental data were convenient for analysis, which allowed to formulate the relevant conclusions.…”

Section: Introductionmentioning

confidence: 99%

Data modelling and data processing generated by human eye movements

Kralev

Kraleva

Koprinkova–Hristova

2021

IJECE

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Data modeling and data processing are important activities in any scientific research. This research focuses on the modeling of data and processing of data generated by a saccadometer. The approach used is based on the relational data model, but the processing and storage of the data is done with client datasets. The experiments were performed with 26 randomly selected files from a total of 264 experimental sessions. The data from each experimental session was stored in three different formats, respectively text, binary and extensible markup language (XML) based. The results showed that the text format and the binary format were the most compact. Several actions related to data processing were analyzed. Based on the results obtained, it was found that the two fastest actions are respectively loading data from a binary file and storing data into a binary file. In contrast, the two slowest actions were storing the data in XML format and loading the data from a text file, respectively. Also, one of the time-consuming operations turned out to be the conversion of data from text format to binary format. Moreover, the time required to perform this action does not depend in proportion on the number of records processed.

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Design and Analysis of a Relational Database for Behavioral Experiments Data Processing

Cited by 27 publications

References 24 publications

STDP Plasticity in TRN Within Hierarchical Spike Timing Model of Visual Information Processing

STDP Plasticity in TRN Within Hierarchical Spike Timing Model of Visual Information Processing

An Analysis of a Web Service based Approach for Experimental Data Sharing

Data modelling and data processing generated by human eye movements

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