All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Spiking Neural Networks for Classification of Brain-Computer Interface and Image Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43963615" target="_blank" >RIV/49777513:23520/21:43963615 - isvavai.cz</a>

  • Result on the web

    <a href="http://jen" target="_blank" >http://jen</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/BIBM52615.2021.9669864" target="_blank" >10.1109/BIBM52615.2021.9669864</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Spiking Neural Networks for Classification of Brain-Computer Interface and Image Data

  • Original language description

    Spiking neural networks are a promising concept not only in terms of better simulation of biological neural networks but also in terms of overcoming the current disadvantages of artificial neural networks, such as high energy consumption or slow response time. The paper focuses on the potential benefits of spiking neural networks in the classification of event-related components processed in many traditional brain-computer interface experiments. Experiments with various spiking network architectures and optimization approaches over specific brain-computer interface and image datasets are presented, and their results are provided and discussed. The best accuracy achieved was 64.86% for the event-related component dataset and 97.09% for the image dataset.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2021)

  • ISBN

    978-1-66540-126-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    3624-3629

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    online

  • Event date

    Dec 9, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article