Research topics:

• Parallel Computing
• Multicore and manycore computing
• Stream computing
• GPGPU - CUDA platform
• Recurrent neural networks
• Architectures and training methods
• Adaptation approaches based on Kalman filtration
• Approaches based on Markovian architectural bias
• Echo-state networks
• Long short-term memory networks
• Symbolic sequence processing
• Fixed order Markov models and variable length Markov models
• Fractal prediction machines and neural prediction machines
• Connectionist models and symbolic sequence processing
• Natural Language Processing
• Biologically plausible computation
• Neural networks trained according to the BCM (Bienenstock, Cooper, Munro) theory
• Self-organizing maps

Research projects - principal investigator:

• Connectionist computational models for computer grid environment.
  2008 - 2010, VG 1/0848/08 (VEGA).
• Theoretical studies and practical applications of recurrent neural networks based on architecural bias.
  2005 - 2007, APVT-20-030204 (APVV).

Research projects - coinvestigator:

• Intelligent embeded systems.
  2008 - 2010, VG 1/0822/08 (VEGA).
• Theoretical studies and applications of echo state neural networks in artificial intelligence and cognitve science.
  2005 - 2007, APVT-20-002504 (APVV).
• Echo state neural networks.
  2004 - 2006, VG 1/1047/04 (VEGA).
• Nonlinear methods in the neural network theory.
  2002 - 2004, VG 1/9046/02 (VEGA).
• Application of nonlinear methods in the neural network theory.
  1999 - 2001, VG 2/6018/99 (VEGA).