• Computational Neuroscience
• Neural Coding
• Sensory Processing and Integration (in visual and somatosensory cortices)
• Whole-cell in-vivo recordings in Rat Barrel Cortex
• Biophysical Modeling
• Active Learning

Conference Papers

• U. Knoblich, M. Riesenhuber, D.J. Freedman, E.K. Miller, and T. Poggio.
  Visual Categorization: How The Monkey Brain Does It.
  In Biologically Motivated Computer Vision, Second International Workshop, BMCV 2002, Tübingen, Germany, 2002.

Book Chapters

• T. Serre, G. Kreiman, M. Kouh, C. Cadieu, U. Knoblich and T. Poggio.
  A quantitative theory of immediate visual recognition.
  In Progress in Brain Research (special volume on computational neuroscience), in press.

Technical Reports

• T. Serre, M. Kouh, C. Cadieu, U. Knoblich, G. Kreiman and T. Poggio.
  A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex.
  CBCL Paper #259/AI Memo #2005-036, Massachusetts Institute of Technology, Cambridge, MA, 2005.
• U. Knoblich, D.J. Freedman and M. Riesenhuber.
  Categorization in IT and PFC: Model and Experiments.
  CBCL Paper #216/AI Memo #2002-007, Massachusetts Institute of Technology, Cambridge, MA, 2002.
• U. Knoblich and M. Riesenhuber.
  Stimulus simplification and object representation: a modeling study.
  CBCL Paper #215/AI Memo #2002-004, Massachusetts Institute of Technology, Cambridge, MA, 2002.

Posters

• T. Serre, M. Kouh, C. Cadieu, U. Knoblich, G. Kreiman and T. Poggio.
  A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex.
  Computational and Systems Neuroscience, Salt Lake City, UT, 2006.
• U. Knoblich, C. Koch and T. Poggio.
  Biophysical mechanisms for the maximum and tuning operations.
  Society for Neuroscience Annual Meeting, Washington, DC, 2005.
• U. Knoblich and T. Poggio.
  Canonical Neural Circuits for Multidimensional Tuning and a MAX-like operation.
  Society for Neuroscience Annual Meeting, San Diego, CA, 2004.
• U. Knoblich, D.J. Freedman, T. Poggio, E.K. Miller and M. Riesenhuber.
  Category- vs. Shape-Tuning in Inferotemporal (ITC) and Prefrontal (PFC) Cortices: Insights from Modeling.
  Society for Neuroscience Annual Meeting, Orlando, FL, 2002.
• M. Riesenhuber and U. Knoblich.
  What Stimulus Simplification Does and Does not Tell us about Neuronal Tuning and Object Representation in Inferotemporal Cortex (IT): Insights from Modeling.
  Society for Neuroscience Annual Meeting, Orlando, FL, 2002.