Abstract
In the last few years, there has been considerable interest for information processing models inspired from the architecture and functioning principles of the brain (see for instance Rumelhart and McClelland 1986). The general features which characterize these models are the following.
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
Ballard D.H., and Brown, CM. (1982) Computer Vision. Prentice-Hall, Englewood Cliffs, New-Jersey.
Bienenstock, E. (1987a) Connectionist Approaches to Vision. In: Models of Visual Perception: from Natural to Artificial ,M. Imbert ed. Oxford University Press. In press.
Bienenstock, E. (1987b) Neural-like Graph Matching Techniques for Image Processing. In: Organization of Structure and Function in the Brain. V. v. Seelen, U. Leinhos and G. Shaw eds., VCH Verlagsgesellschaft, Weinheim, W.-Germany. In press.
Bienenstock, E., and von der Malsburg, C. (1987) A Neural Network for Invariant Pattern Recognition. Europhys. Lett. 4 (1) pp. 121–126.
Hinton, G.E., Sejnowski, T.J., and Ackley, D.H. (1984) Boltzmann Machines: Constraint Satisfaction Networks that Learn. Tech. Rep, CMU-CS-84-119. Carnegie-Mellon University.
Hopfield, J.J. (1982) Neural Networks and Physical Systems with Emergent Collective Computational Abilities. Proc. Natl. Acad, Sci. USA, 79, 2554–2558.
McCulloch, W.S., and Pitts, V. (1943) A Logical Calculus of the Ideas Immanent in Nervous Activity. Bull. Math. Biophys. 5, 115–133.
Rosenblatt, F. (1959) Principles of Neurodynamics. Spartan Books, New-York.
Rumelhart, D.E., and McClelland, J.L. (1986) Parallel Distributed Processing: Explorations in the Microstructure of Cognition. MIT Press, Cambridge.
Ullmann, J.R. (1976) An Algorithm for Subgraph Isomorphism, J. ACM 23, 1, 31–42,
von der Malsburg, C. (1981) The Correlation Theory of Brain Function. Internal Report 81-2. Max-Planck Institute for Biophysical Chemistry, Department of Neurobiology, Göttingen, West-Germany.
von der Malsburg, C, (1985) Nervous Structures with Dynamical Links, Ber. Bunsenges. Phys. Chem. 89, 703–710.
von der Malsburg, C. (1987) Synaptic Plasticity as a Basis of Brain Organization. In: The Neural and Molecular Bases of Learning. Dahlem Konferenzen. J,-P. Changeux and M. Konishi, eds. John Wiley and Sons, Chichester.
von der Malsburg, C. ; and Bienenstock, E. (1986) Statistical Coding and Short-Term Synaptic Plasticity: A Scheme for Knowledge Representation in the Brain. In: Disordered Systems and Biological Organization. E. Bienenstock, F. Fogelman-Soulié, and G. Weisbuch, eds. Springer-Verlag, Berlin,
von der Malsburg, C., and Bienenstock, E. (1987) A Neural Network for the Retrieval of Superimposed Connection Patterns. Europhys. Lett., 3 (11) pp. 1243–1249,
von der Malsburg, C., and Schneider, W. (1986) A Neural Cocktail-Party Processor. Biol. Cybernetics, 54, 29–40.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1989 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bienenstock, E. (1989). Relational Models in Natural and Artificial Vision. In: Eckmiller, R., v.d. Malsburg, C. (eds) Neural Computers. Springer Study Edition, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83740-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-83740-1_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-50892-2
Online ISBN: 978-3-642-83740-1
eBook Packages: Springer Book Archive