Abstract
We propose a pulse neural network that exhibits chaotic pattern alternations among stored patterns as a model of multistable perception, which is reflected in phenomena such as binocular rivalry and perceptual ambiguity. When we regard the mixed state of patterns as a part of each pattern, the durations of the retrieved pattern obey unimodal distributions. The mixed states of the patterns are essential to obtain the results that are consistent with psychological studies. Based on these results, it is proposed that many pre-existing attractors in the brain might relate to the general category of multistable phenomena, such as binocular rivalry and perceptual ambiguity.
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References
Lehky, S.R.: Binocular rivalry is not chaotic. Proc. R. Soc. Lond. B 259, 71–76 (1995)
Blake, R.: A primer on binocular rivalry, including current controversies. Brain Mind 2, 5–38 (2001)
Alais, D., Blake, R.: Binocular rivalry and perceptual ambiguity. In: Wagemans, J. (ed.) The Oxford Handbook of Perceptual Organization. Oxford University Press, Oxford (2015)
Adachi, M., Aihara, K.: Associative dynamics in a chaotic neural network. Neural Netw. 10, 83–98 (1997)
Aihara, K., Takabe, T., Toyoda, M.: Chaotic neural networks. Phys. Lett. A 144, 333–340 (1990)
Tsuda, I.: Dynamic link of memory - chaotic memory map in nonequilibrium neural networks. Neural Netw. 5, 313–326 (1992)
Ermentrout, G.B., Kopell, N.: Parabolic bursting in an excitable system coupled with a slow oscillation. SIAM J. Appl. Math. 46, 233–253 (1986)
Izhikevich, E.M.: Class 1 neural excitability, conventional synapses, weakly connected networks, and mathematical foundations of pulse-coupled models. IEEE Trans. Neural Netw. 10, 499–507 (1999)
Kanamaru, T., Sekine, M.: Synchronized firings in the networks of class 1 excitable neurons with excitatory and inhibitory connections and their dependences on the forms of interactions. Neural Comput. 17, 1315–1338 (2005)
Kanamaru, T.: Chaotic pattern transitions in pulse neural networks. Neural Netw. 20, 781–790 (2007)
Kanamaru, T., Fujii, H., Aihara, K.: Deformation of attractor landscape via cholinergic presynaptic modulations: a computational study using a phase neuron model. PLoS ONE 8, e53854 (2013)
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Kanamaru, T. (2017). The Mixed States of Associative Memories Realize Unimodal Distribution of Dominance Durations in Multistable Perception. In: Cong, F., Leung, A., Wei, Q. (eds) Advances in Neural Networks - ISNN 2017. ISNN 2017. Lecture Notes in Computer Science(), vol 10261. Springer, Cham. https://doi.org/10.1007/978-3-319-59072-1_44
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DOI: https://doi.org/10.1007/978-3-319-59072-1_44
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