Using hardware models to quantify sensory data acquisition across the rat vibrissal array

Venkatesh Gopal*, Mitra J Z Hartmann

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


Our laboratory investigates how animals acquire sensory data to understand the neural computations that permit complex sensorimotor behaviors. We use the rat whisker system as a model to study active tactile sensing; our aim is to quantitatively describe the spatiotemporal structure of incoming sensory information to place constraints on subsequent neural encoding and processing. In the first part of this paper we describe the steps in the development of a hardware model (a 'sensobot') of the rat whisker array that can perform object feature extraction. We show how this model provides insights into the neurophysiology and behavior of the real animal. In the second part of this paper, we suggest that sensory data acquisition across the whisker array can be quantified using the complete derivative. We use the example of wall-following behavior to illustrate that computing the appropriate spatial gradients across a sensor array would enable an animal or mobile robot to predict the sensory data that will be acquired at the next time step.

Original languageEnglish (US)
Pages (from-to)S135-S145
JournalBioinspiration and Biomimetics
Issue number4
StatePublished - Dec 1 2007

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Molecular Medicine
  • Biophysics
  • Biochemistry
  • Biotechnology


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