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Signal Integration Models in MT for Direction Selectivity Analysis

Explore and compare various models of signal integration in MT cells for direction selectivity analysis, examining the performance and properties of component, abstract pattern, and SH pattern models.

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Signal Integration Models in MT for Direction Selectivity Analysis

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  1. TESTING MODELS OF SIGNAL INTEGRATION IN MT Valerio Mante, NajibMajaj, Matteo Carandini, J. Anthony Movshon ETH and University of Zurich Howard Hughes Medical Institute and New York University

  2. Gratings and plaids

  3. Models of MT direction selectivity Component model (Movshon et al. 1983) Abstract Pattern model (Movshon et al. 1983) SH pattern model (Simoncelli and Heeger1998)

  4. The stimuli and their velocities

  5. Responses of three MT cells

  6. Component model

  7. Abstract pattern model

  8. SH pattern model

  9. SH pattern model cells sum the output of the appropriate V1 cells

  10. The direction tuning of SH pattern model cells for slow gratings is bimodal

  11. Comparison of the models for the 3 cells

  12. Comparison of the models for 39 cells

  13. Conclusions To fit our data, we extended the original abstract component and pattern models and simplified the SH pattern model. Overall, the SH pattern model and the abstract pattern model performed equally well. But the SH model has fewer free parameters. The SH pattern model predicts some properties that are not explained by the other two.

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