Abstract
We propose a mathematical model of visual selective attention using a two-layered neural network, based on an assumption proposed by Desimone and Duncan. We use a spiking neuron model proposed by Hayashi and Ishizuka, which generates periodic spikes, quasiperiodic spikes and chaotic spikes. The neural network consists of a layer of hippocampal formation and that of visual cortex. In order to clarify an attention shift, we solve numerically a set of the first-order ordinary differential equations, which describe a time-evolution of neurons. The visual selective attention is considered as the synchronous phenomena between the firing times of the neurons in the hippocampal formation and those in a part of the visual cortex in the present model.
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References
Crick, F.: Function of the Thalamic Reticular Complex: The searchlight hypothesis. In: Proceedings of the National Academy of Sciences USA 81, pp. 4586–4590 (1984)
Desimone, R., Duncan, J.: Neural Mechanisms of Selective Visual Attention. Annu. Rev. Neurosci., 193–222 (1995)
Wu, Z., Guo, A.: Selective Visual Attention in a Neurocomputational Model of Phase Oscillators. Biol. Cybern. 80, 205–214 (1999)
Iijima, T., Witter, M.P., Ichikawa, M., Tominaga, T., Kajiwara, R., Matsumoto, G.: Entorhinal-Hippocampal Interactions Revealed by Real-Time Imaging. Science, 1176–1179 (1996)
Hayashi, H., Ishizuka, S.: Chaotic Nature of Bursting Discharges in the Onchidium Pacemaker Neuron. J. theor. Biol. 156, 269–291 (1992)
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© 2004 Springer-Verlag Berlin Heidelberg
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Katayama, K., Yano, M., Horiguchi, T. (2004). Synchronous Phenomena for Two-Layered Neural Network with Chaotic Neurons. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_3
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DOI: https://doi.org/10.1007/978-3-540-30499-9_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23931-4
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