Abstract
The binding problem is a problem on the integration of perceptual properties in our brains. For describing this problem in the artificial neural network, it is necessary to introduce the temporal coding of information. In this paper, we propose a neural network model that can represent the bindings of external stimuli, based on the network that is capable of figure-ground segmentation proposed by Sompolinsky and Tsodyks. This model adopts the coupled oscillators that can represent the temporal coding and the synchronization among them.
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References
Roskies, A.L.: The binding problem. Neuron 24, 7–9 (1999); comprehensive reference list for all reviews. ibid. 111–125
van der Malsburg, C.: The correlation theory of brain function. Technical Report 81-2, Max-Planck-Institute for Biophysical Chemistry (1981)
Blake, R., Yang, Y.: Spatial and temporal coherence in perceptual binding. Proc. Natl. Acad. Sci., U.S.A 94, 7115–7119 (1997)
Hummel, J.E., Biederman, I.: Dynamic binding in a neural network for shape recognition. Psychological Review 99, 480–517 (1992)
Wennekers, T., Palm, G.: On the relation between neural modelling and experimental neuroscience. Theory in Biosciences 116, 273–289 (1997)
Engel, A.K., Fries, P., König, P., Brecht, M., Singer, W.: Temporal binding, binocular rivalry, and consciousness. Consciousness and Cognition 8, 128–151 (1999)
van der Malsburg, C.: The what and why of binding: The modeler’s perspective. Neuron, 95–104 (1999)
Abott, L., Sejowski, T.J.: Neural Codes and Distributed Representation. MIT Press, Cambridge (1999)
Sompolinsky, H., Tsodyks, M.: Segmentation by a network of oscillators with stored memories. Neural Computation 6, 642–657 (1994)
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© 2005 Springer-Verlag Berlin Heidelberg
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Isokawa, T., Nishimura, H., Kamiura, N., Matsui, N. (2005). Perceptual Binding by Coupled Oscillatory Neural Network. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550822_23
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DOI: https://doi.org/10.1007/11550822_23
Publisher Name: Springer, Berlin, Heidelberg
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