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

  • Ákos Zarándy
  • Tamás Fülöp


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.


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.



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


  1. 1.
    C. Rind, P.J. Simmons, Seeing what is coming: Building collision sensitive neurons. Trends in Neuroscience, 22, 215–220, 1999CrossRefGoogle Scholar
  2. 2.
    G. Linan-Cembrano, L. Carranza, C. Rind, A. Zarandy, M. Soininen, A. Rodriguez-Vazquez, Insect-vision inspired colision warning vision processor for automotive, IEEE Circuits and Systems Magazine, 8(2), 6–24, 2008CrossRefGoogle Scholar
  3. 3.
    T.A. Münch, R. Azeredo da Silveira, S. Siegert, T.J. Viney, G.B. Awatramani, B. Roska, Approach sensitivity in the retina processed by a multifunctional neural circuit, Nature Neuroscience, 12(10), 1308–1316, 2009CrossRefGoogle Scholar
  4. 4.
    A. Rodríguez-Vázquez, R. Domínguez-Castro, F. Jiménez-Garrido, S. Morillas, A. García, C. Utrera, M. Dolores Pardo, J. Listan, R. Romay, A CMOS vision system on-chip with multi-core, cellular sensory-processing front-end, Cellular Nanoscale Sensory Wave Computing, edited by C. Baatar, W. Porod T. Roska, ISBN: 978–1–4419–1010–3, 2009Google Scholar
  5. 5.

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

Personalised recommendations