Smart Structures and Systems

  • 제8권1호
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  • Pages.107-117
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  • 2011
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Biological smart sensing strategies in weakly electric fish

  • Nelson, Mark E. (Department of Molecular & Integrative Physiology, Neuroscience Program, Beckman Institute, University of Illinois at Urbana-Champaign)
  • 투고 : 2010.04.29
  • 심사 : 2010.08.28
  • 발행 : 2011.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

Biological sensory systems continuously monitor and analyze changes in real-world environments that are relevant to an animal's specific behavioral needs and goals. Understanding the sensory mechanisms and information processing principles that biological systems utilize for efficient sensory data acquisition may provide useful guidance for the design of smart-sensing systems in engineering applications. Weakly electric fish, which use self-generated electrical energy to actively sense their environment, provide an excellent model system for studying biological principles of sensory data acquisition. The electrosensory system enables these fish to hunt and navigate at night without the use of visual cues. To achieve reliable, real-time task performance, the electrosensory system implements a number of smart sensing strategies, including efficient stimulus encoding, multi-scale virtual sensor arrays, task-dependent filtering and online subtraction of sensory expectation.

키워드

과제정보

연구 과제 주관 기관 : National Science Foundation, National Institute of Mental Health

참고문헌

  1. Bastian, J. (1995), "Pyramidal-cell plasticity in weakly electric fish: a mechanism for attenuating responses to reafferent electrosensory inputs", J. Comp. Physiol. A, 176(1), 63-78.
  2. Bastian, J., Chacron, M.J. and Maler, L. (2004), "Plastic and nonplastic pyramidal cells perform unique roles in a network capable of adaptive redundancy reduction", Neuron, 41(5), 767-779. https://doi.org/10.1016/S0896-6273(04)00071-6
  3. Bell, C.C. (2001), "Memory-based expectations in electrosensory systems", Curr. Opin. Neurobiol. 11, 481-487. https://doi.org/10.1016/S0959-4388(00)00238-5
  4. Berman, N.J. and Maler, L. (1999), "Neural architecture of the electrosensory lateral line lobe: adaptations for coincidence detection, a sensory searchlight and frequency-dependent adaptive filtering", J. Exp. Biol., 202, 1243-1253.
  5. Brandman, R. and Nelson, M.E. (2002), "A simple model of long-term spike train regularization", Neural Comput., 14, 1575-1597. https://doi.org/10.1162/08997660260028629
  6. Carlson, B.A. and Kawasaki, M. (2008), "From stimulus estimation to combination sensitivity: encoding and processing of amplitude and timing information in parallel, convergent sensory pathways", J. Comput. Neurosci., 25, 1-24. https://doi.org/10.1007/s10827-007-0062-6
  7. Carr, C.E., Maler, L. and Sas, E. (1982), "Peripheral organization and central projections of the electrosensory nerves in gymnotiform fish", J. Comp. Neurol., 211(2), 139-153. https://doi.org/10.1002/cne.902110204
  8. Chacron, M.J., Doiron, B., Maler, L., Longtin, A. and Bastian, J. (2003), "Non-classical receptive field mediates switch in a sensory neuron's frequency tuning", Nature, 423, 77-81. https://doi.org/10.1038/nature01590
  9. Chen, L., House, J. H., Krahe, R. and Nelson, M.E. (2005), "Modeling signal and background components of electrosensory scenes", J. Comp. Physiol. A, 191(4), 331-345. https://doi.org/10.1007/s00359-004-0587-3
  10. Gabbiani, F., Metzner, W. and Wessel, R. and Koch, C. (1996), "From stimulus encoding to feature extraction in weakly electric fish", Nature, 284, 564-567.
  11. Haykin, S. (2002), Adaptive Filter Theory, 4th Ed., Prentice Hall, Upper Saddle River, NJ. Heiligenberg, W. (1977), "Principles of electrolocation and jamming avoidance", In: Studies of Brain Function, 1, (Ed. V. Braitenberg), Springer-Verlag, Berlin.
  12. Hopkins, C.D. (1976), "Stimulus filtering and electroreception: tuberous receptors in three species of gymnotoid fish", J. Comp. Physiol. A, 111(2), 171-207. https://doi.org/10.1007/BF00605531
  13. Kay, S.M. (1993), Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice Hall, Upper Saddle River, NJ
  14. Knudsen, E.I. (1975), "Spatial aspects of the electric fields generated by weakly electric fish", J. Comp. Physiol., 99(2), 103-118. https://doi.org/10.1007/BF00618178
  15. Krahe, R., Bastian, J. and Chacron, M.J. (2008), "Temporal processing across multiple topographic maps in the electrosensory system", J. Neurophysiol., 100, 852-867. https://doi.org/10.1152/jn.90300.2008
  16. Maler, L. (2009), "Receptive field organization across multiple electrosensory maps-I. Columnar organization and estimation of receptive field size", J Comp. Neurol., 516(5), 376-393 https://doi.org/10.1002/cne.22124
  17. Nelson, M.E. (2005), "Target Detection, Image Analysis and Modeling", In: Electroreception (Springer Handbook of Auditory Research), (Eds. T.H. Bullock, C.D. Hopkins, A.N Popper, R.R. Fay), Springer, New York, 290-317.
  18. Nelson, M.E. and MacIver, M.A. (1999), "Prey capture in the weakly electric fish Apteronotus albifrons: sensory acquisition strategies and electrosensory consequences", J. Exp. Biol., 202, 1195-1203.
  19. Nelson, M.E. and MacIver, M.A. (2006), "Sensory acquisition in active sensing systems", J. Comp. Physiol. A, 192(6), 573-586. https://doi.org/10.1007/s00359-006-0099-4
  20. Nelson, M.E., Xu, Z. and Payne, J.R. (1997), "Characterization and modeling of P-type electrosensory afferent responses to amplitude modulations in a wave-type electric fish", J. Comp. Physiol. A, 181(5), 532-544. https://doi.org/10.1007/s003590050137
  21. Olshausen, B.A. and Field, D.J. (2004), "Sparse coding of sensory inputs", Curr. Opin. Neurobiol., 14(4), 481-487. https://doi.org/10.1016/j.conb.2004.07.007
  22. Ratnam, R. and Nelson, M.E. (2000), "Nonrenewal statistics of electrosensory afferent spike trains: Implications for the detection of weak sensory signals", J. Neurosci., 20, 6672-6683.
  23. Shumway, C.A. (1989a), "Multiple electrosensory maps in the medulla of weakly electric Gymnotiform fish I. Physiological differences", J. Neurosci., 9(12), 4388-4399.
  24. Shumway, C.A. (1989b ), "Multiple electrosensory maps in the medulla of weakly electric Gymnotiform fish II. Anatomical differences", J. Neurosci., 9(12), 4400-4415.
  25. Xu, Z., Payne, J.R. and Nelson, M.E. (1996), "Logarithmic time course of sensory adaptation in electrosensory afferent nerve fibers in a weakly electric fish", J. Neurophysiol., 76(3), 2020-2032. https://doi.org/10.1152/jn.1996.76.3.2020

피인용 문헌

  1. Feasibility of displacement monitoring using low-cost GPS receivers vol.20, pp.9, 2013, https://doi.org/10.1002/stc.1532
  2. Electroreception, electrogenesis and electric signal evolution vol.95, pp.1, 2011, https://doi.org/10.1111/jfb.13922