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VLSI Implementation of Barn Owl Superior Colliculus Network for Visual and Auditory Integration

  • Juan Huo
  • Alan Murray
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7366)

Abstract

A bio-inspired silicon Mixed Signal integrated circuit is designed in this paper to emulate the brain development in Superior Colliculus of barn owl. For the juvenile barn owl, it can adapt localization mismatch to prism wearing. Visual and auditory maps alignment in Superior Colliculus is adjusted. Visual and auditory input information can recover their registration after several weeks’ training. A mathematical model has been built previously to emulate this process. Based on the model, we designed a VLSI circuit in 0.35μm CMOS process which has been fabricated. In this paper we present the chip test results of a silicon superior colliculus and show a novel method for adaptive spiking neural information integration when disparity is caused by the environment.

Keywords

Superior Colliculus Spike Train Inferior Colliculus VLSI Implementation Transmission Gate 
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.

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References

  1. 1.
    Knudsen, E.I., Knudsen, P.F.: Visuomotor adaptation to displacing prisms by adult and baby barn owls. Journal of Neuroscience 9, 3297–3305 (1989)Google Scholar
  2. 2.
    Knudsen, E.I.: Auditory and visual maps of space in the optic tectum of the owl. The Journal of Neuroscience 2, 1177–1194 (1982)Google Scholar
  3. 3.
    Brainard, M.S., Knudsen, E.I.: Sensitive periods for visual calibration of the auditory space map in the barn owl optic tectum. J. Neurosci. 18, 3929–3942 (1998)Google Scholar
  4. 4.
    Meredith, M.A., Stein, B.E.: Spatial factors determine the activity of multisensory neurons in cat superior colliculus. Brain Research 365, 857–873 (1986)Google Scholar
  5. 5.
    Hyde, P.S., Knudsen, E.I.: Topographic projection from the optic tectum to the auditory space map in the inferior colliculus of the barn owl. J. Comp. Neurol. 421, 146–160 (2000)CrossRefGoogle Scholar
  6. 6.
    Goldberg, J.L., Espinosa, J.S., Xu, Y., Davidson, N., Kovacs, G.T.A., Barres, B.A.: Retinal ganglion cells do not extend axons by default: Promotion by neurotrophic signaling and electrical activity. Neuron 33, 689–702 (2002)CrossRefGoogle Scholar
  7. 7.
    Gillespie, L.N.: Regulation of axonal growth and guidance by the neurotrophic family of neurotrophic factors. Clinical and Experimental Pharmacology and Physiology 30, 724–733 (2003)CrossRefGoogle Scholar
  8. 8.
    Taba, B., Boahen, K.: Silicon growth cones map silicon retina. In: Advances in Neural Information Processing System, vol. 18 (2006)Google Scholar
  9. 9.
    EI, K.: Instructed learning in the auditory localization pathway of the barn owl. Nature 417(6886), 322–328 (2002)CrossRefGoogle Scholar
  10. 10.
    Meredith, M.A., Nemitz, J.W., Stein, B.E.: Determinants of multisensory integration in superior colliculus neurons. i. temporal factors. J. Neurosci. 10, 3215–3229 (1987)Google Scholar
  11. 11.
    Huo, J., Murray, A.: The adaptation of visual and auditory integration in the barn owl superior colliculus with spike timing dependent plasticity. Neural Networks (in pressing)Google Scholar
  12. 12.
    Huo, J., Murray, A., Smith, L., Yang, Z.: Adaptation of barn owl localization system with spike timing dependent plasticity. In: Proc. International Joint Conference on Neural Networks. IEEE World Congress on Computational Intelligence (June 2008)Google Scholar
  13. 13.
    Huo, J., Murray, A.: The Role of Membrane Threshold and Rate in STDP Silicon Neuron Circuit Simulation. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds.) ICANN 2005, Part II. LNCS, vol. 3697, pp. 1009–1014. Springer, Heidelberg (2005)Google Scholar
  14. 14.
    Roberts, P.D., Bell, C.C.: Spike timing dependent synaptic plasticity in biological systems. Biol. Cybern. 87, 392–403 (2002)zbMATHCrossRefGoogle Scholar
  15. 15.
    Bofill-I-Petit, A., Murray, A.F.: Synchrony detection and amplification by silicon neurons with stdp synapses. IEEE Transactions on Neural Networks 15, 1296–1304 (2004)CrossRefGoogle Scholar
  16. 16.
    Indiveri, G.: Neuromorphic bistable vlsi synapses with spike-timing-dependent plasticity. In: Advances in Neural Information Processing Systems, pp. 1091–1098. MIT Press (2002)Google Scholar
  17. 17.
    Murray, A., Huo, J., Reekie, M.: Silicon superior colliculus for the integration of visual and auditory information with adaptive axon connection. In: ISCAS (IEEE International Symposium on Circuits and Systems) (2009)Google Scholar
  18. 18.
    Murray, A., Huo, J., Yang, Z.: Bio-inspired real time sensory map realignment in a robotic barn owl. In: NIPS, pp. 713–720 (December 2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Juan Huo
    • 1
    • 2
  • Alan Murray
    • 3
  1. 1.Shanghai Jiao Tong UniversityChina
  2. 2.Zhengzhou UniversityChina
  3. 3.The University of EdinburghUK

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