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Implementation and Validation of a Looming Object Detector Model Derived from Mammalian Retinal Circuit

  • Ákos Zarándy
  • Tamás Fülöp
Chapter

Abstract

The model of a recently identified mammalian retina circuit, responsible for identifying looming or approaching objects, is implemented on mixed-signal focal-plane sensor-processor array. The free parameters of the implementation are characterized; their effects to the model are analyzed. The implemented model is calibrated with real stimuli with known kinetic and geometrical properties. As the calibration shows, the identified retina channel is responsible for last minute detection of approaching objects.

Keywords

Ganglion Cell Receptive Field Inhibitory Channel Mouse Retina Spatial Summation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgement

The explanation of the neurobiological system level background of the model by Botond Roska is greatly admired.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Computer and Automation Research Institute of the Hungarian Academy of Sciences(MTA-SZTAKI)BudapestHungary

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