Abstract
Virtual biobots are computer models that look and behave like animals. They work by simulating the biomechanics and nervous systems of real animals in virtual environments that simulate the physics of the real world. We have developed anatomical, neurophysiological and software methods for building virtual biobots. Virtual biobots have direct applications in biology teaching and video animation, as well as research applications in biology and engineering. Our virtual biobot builder technology may underpin the development of novel biomimetic technologies by facilitating the development of complex software models of biological systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Deacon T.W. (1990) Rethinking mammalian brain evolution. American Zoologist 30(3):629–705.
Deacon, T.W. (1998) The Symbolic Species: The Co-evolution of language and the brain. W.W. Norton and Co.
Kalman, R.E. (1969) Elementary control theory from the modern point of view. In: Kalman, Falb and Arbib: Mathematical System Theory McGraw-Hill, New York. pp25–66.
Kalmijn, A.J. (1982) Electro-perception in sharks and rays. Nature 212:1232–1233.
Kauffman, S.A. (1993) The Origins of Order. Oxford University Press.
Kauffman, S.A. (1995) At Home in the Universe. Viking, New York.
Mandier, J.M. (1992) How to build a baby. Psychological Review 99(4): 587–604.
Montgomery J.C. and Bodznick D. (1999) Signals and noise in the elasmobranch electrosenspry system. Journal of Experimental Biology 202: 1349–1355.
Montgomery J.C. and Bodznick D. (1994) An adaptive filter that suppresses self-induced noise in the electrosensory and lateral line mechanosensory systems of fish. Neuroscience Letters 174: 145–148.
Nelson M.E. and Paulin M.G. (1995) Neural simulations of adaptive reafference suppression in the elasmobranch electrosensory system. J. Comp. Physiol. A. 177: 723–736.
Paulin, M.G. (1993) The role of the cerebellum in motor control and perception. Brain, Behaviour and Evolutioa 41(1):39–50.
Paulin, M.G. (1993b) A method for constructing data-based models of spiking neurons using a dynamic linear - static nonlinear cascade. Biol. Cybern. 69:67–76.
Paulin M.G. (1996) System identification of spiking neurons. In: Advances in Processing and Pattern Analysis of Biological Signals. I. Gath and G. Inbar (eds). Plenum, New York, pp 183–194.
Paulin, M.G. (1997) Neural representations of moving systems. International Review of Neurobiology. 41:515–533.
Paulin, M.G. (1997b) The evolutionary origin of image schemas. New Ideas in Psychology 15(2):133–136.
Paulin M.G. and Hoffman L.R. (1998) Modelling the firing pattern of bullfrog vestibular neurons responding to naturalistic stimuli. Neurocomputing 26: 223–228.
Paulin, M.G., Senn, W., Yarom, Y., Meiri, H. and Cohen, D. (1998) A model of how rapid changes in local input resistance of shark electrosensory neurons could enable the detection of small signals. In: Computational Neuroscience. J. Bower (ed) Plenum, New Yor. pp239–244.
Raff, R. A. (1996) The Shape of Life. University of Chicago Press.
Ramsdell A.F. and Yost, H.J. (1998) Molecular mechanisms of vertebrate left-right development. Trends in Genetics 14(11):459–465.
Stewart, I. Life’s Other Secret (1997). John Wiley and Sons Inc.
Thompson, D.W. (1961) On Growth and Form. (New edition edited by J.T. Bonner) Cambridge University Press.
Vandervert, L. (1997) The evolution of Mandler’s conceptual primitives (image-schemas) as neural mechanisms for space-time simulation structures. New Ideas in Psychology 15(2):105–123.
Vogel, S. (1998) Cat’s paws and catapaults: Mechanical Worlds of Nature and People. W.W. Norton and Co.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Paulin, M., Berquist, R. (2000). Virtual BioBots. In: Kasabov, N. (eds) Future Directions for Intelligent Systems and Information Sciences. Studies in Fuzziness and Soft Computing, vol 45. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1856-7_9
Download citation
DOI: https://doi.org/10.1007/978-3-7908-1856-7_9
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-2470-4
Online ISBN: 978-3-7908-1856-7
eBook Packages: Springer Book Archive