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Modelling spatiotemporal properties of directionally sensitive multi-input single-output systems

B J Hess1, D E Angelaki

  • 1Neurologische Klinik, Universitätsspital Zürich, Switzerland.

Biological Cybernetics
|January 1, 1993
PubMed
Summary

Linear systems

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Area of Science:

  • Systems Engineering
  • Neuroscience
  • Signal Processing

Background:

  • Directionally tuned linear systems exhibit input-output dynamics dependent on spatial input orientation.
  • Input-output behavior is modeled using vector transfer functions defining system polarization in real space.

Purpose of the Study:

  • To characterize the spatial tuning behavior of linear multi-input single-output systems.
  • To differentiate between unidirectional and bidirectional vector transfer functions in these systems.

Main Methods:

  • Calculating eigenvectors and eigenvalues of the system matrix derived from harmonic stimulation responses.
  • Analyzing the quadratic form associated with the system matrix to determine spatial tuning.

Main Results:

  • System matrices yield either one (unidirectional) or two (bidirectional) polarization directions, never three.
  • Bidirectional vector transfer functions in neuronal systems enable plane-specific information processing.

Conclusions:

  • Neuronal systems with bidirectional vector transfer functions display distinct processing characteristics compared to unidirectional systems.
  • Understanding these spatial tuning properties is crucial for analyzing complex input-output relationships in engineered and biological systems.

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