Abstract
The single-layer continuous attractor neural network (CANN) model has been applied successfully to describe the tracking of moving stimuli of a single modality. Experimental evidence shows that stimuli of different modalities interact with each other in the neural system. To study these interaction effects, we generalize the single-module structure to a bimodular one. We found that when there is one static stimulus in one module and a moving one in the other, the network have very different behaviours depending on whether the inter-modular couplings are excitatory or inhibitory. We further compare the model with experimental observations that illustrate the interactions between two sensory modalities, such as the motion-bounce Illusion. Agreement between model and experimental results can be obtained for appropriate choice of parameters.
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This work is supported by grants from the Research Grants Council of Hong Kong (grant numbers N_HKUST606/12, 605813 and 16322616).
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Yan, M., Zhang, WH., Wang, H., Wong, K.Y.M. (2017). The Dynamics of Bimodular Continuous Attractor Neural Networks with Moving Stimuli. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10637. Springer, Cham. https://doi.org/10.1007/978-3-319-70093-9_69
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DOI: https://doi.org/10.1007/978-3-319-70093-9_69
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