Mgr. Ondřej Pokora, Ph.D.

2009

• Statistical approach in search for optimal signal in simple olfactory neuronal models

  POKORA Ondřej

  Year: 2009, type:

2008

• Classification of input signals based on input-output curves

  POKORA Ondřej LÁNSKÝ Petr

  Conference abstract

  Year: 2008, type: Conference abstract

• Classification of stimuli based on stimulus-response curves and their variability

  LÁNSKÝ Petr POKORA Ondřej ROSPARS Jean-Pierre

  Article in Periodical

  Brain Research, year: 2008, volume: Volume 122, edition: srpen 2008

• Statistical approach in search for optimal signal in simple olfactory neuronal models

  POKORA Ondřej LÁNSKÝ Petr

  Article in Periodical

  Mathematical Biosciences, year: 2008, volume: Volume 214, edition: Issues 1-2

2007

• Optimal odor intensity in simple olfactory neuronal models

  POKORA Ondřej LÁNSKÝ Petr

  Appeared in Conference without Proceedings

  Year: 2007, type: Appeared in Conference without Proceedings

• Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons

  POKORA Ondřej LÁNSKÝ Petr

  Article in Proceedings

  Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729, year: 2007

• Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision

  LÁNSKÝ Petr POKORA Ondřej ROSPARS Jean-Pierre

  Article in Proceedings

  Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729, year: 2007

• TIES2007, 18th annual meeting of the International Environmetrics Society

  HOROVÁ Ivanka FORBELSKÁ Marie BAUER Luboš BUDÍKOVÁ Marie KOLÁČEK Jan LEPKA Karel MOLL Ivo NÉMETHOVÁ Danka PALIÁNOVÁ Radka POKORA Ondřej POSPÍŠIL Zdeněk RÁČEK Jaroslav TAJOVSKÝ Martin WIMMER Gejza ZELINKA Jiří

  Conference

  Year: 2007, type: Conference

2006

• Optimal signal in ligand-receptor models

  POKORA Ondřej LÁNSKÝ Petr

  Appeared in Conference without Proceedings

  Year: 2006, type: Appeared in Conference without Proceedings