Brain Computer Interfaces: A Recurrent Neural Network Approach

  • Gareth Oliver
  • Tom Gedeon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6444)


This paper explores the use of recurrent neural networks in the field of Brain Computer Interfaces(BCI). In particular it looks at a recurrent neural network, an echostate network and a CasPer neural network and attempts to use them to classify data from BCI competition III’s dataset IVa. In addition it proposes a new method, EchoCasPer, which uses the CasPer training scheme in a recurrent neural network. The results showed that temporal information existed within the BCI data to be made use of, but further pre-processing and parameter exploration was needed to reach competitive classification rates.


BCI RNN CasPer Echostate Network 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Gareth Oliver
    • 1
  • Tom Gedeon
    • 1
  1. 1.Australian National UniversityAustralia

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