Abstract
It is well established that cortical neurons display synchronous firing for some stimuli and not for others. The resulting synchronous subpopulation of neurons is thought to form the basis of object perception. In this paper this ’dynamic linking’ phenomenon is demonstrated in networks of binary neurons with stochastic dynamics. Feed-forward connections implement feature detectors and lateral connections implement memory traces or cell assemblies.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
C.M. Gray, P. König, A.K. Engel, and W. Singer. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature, 338:334, 1989.
R. Eckhorn, R. Bauer, W. Jordan, M. Brosch, W. Kruse, M. Munk, and H.J. Reitboeck. Coherent oscillations: A mechanism of feature linking in the visual cortex? Biological Cybernetics, 60:121–130, 1988.
A.K. Engel, P. König, and W. Singer. Direct physiological evidence for scene segmentation by temporal coding. Proceedings of the National Academy of Science of the USA, 88:9136–9140, 1991.
B Julesz. Foundations of cyclopean perception. University of Chicago Press, Illinois, 1971.
D Marr. Vision: A computational investigation into the human representation and procesing of visual information. Freeman, San Francisco, 1982.
P. König and T.B. Schillen. Stimulus-dependent assembly formation of oscillatory responses: I synchronization. Neural Computation, 3:155–166, 1991.
H. Sompolinsky, D. Golomb, and D. Kleinfeld. Cooperative dynamics in visual processing. Physical Review A, 43:6990–7011, 1991.
Ch. Malsburg and W. Schneider. A neural cocktail-party processor. Biological Cybernetics, 54:29–40, 1986.
T. Chawanya, T. Aoyagi, I. Nishikawa, K. Okuda, and Y. Kuramoto. A model for feature linking via collective oscillations in the primary visual cortex. Biological Cybernetics, 68:483–490, 1993.
M. Arndt, P. Dicke, M. Erb, R. Eckhorn, and H.J. Reitboeck. Two-layered physiology-orineted neuronal network models the combine dynamic feature linking via synchronization with a classical associative memory. In J.G. Taylor, editor, Neural Network Dynamics, pages 140–155. Springer Verlag, 1992.
D. Ackley, G. Hinton, and T. Sejnowski. A learning algorithm for Boltzmann machines. Cognitive Science, 9:147–169, 1985.
H.J. Kappen and M.J. Nijman. Dynamic linking in stochastic networks. In R. Moreno-Diaz, editor, Proceedings W.S. McCullock: 25 years in memoriam, pages 294–299, Las Palmas de Gran Canaria, Spain, 1995. MIT Press. F-95-043.
I Ginzburg and H Sompolinsky. Theory of correlations in stochastic neural networks. Physical Review E, 50:3171–3191, 1994.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1996 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kappen, B., Varona, P. (1996). Dynamic feature linking in stochastic networks with short range interactions. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_21
Download citation
DOI: https://doi.org/10.1007/3-540-61510-5_21
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-61510-1
Online ISBN: 978-3-540-68684-2
eBook Packages: Springer Book Archive