Abstract
We present a computational model evoked by electrosensory system which is able to display oscillatory activity, and focus on the coherence of the spectral power of the ELL neurons with the topographic modulations for different spatial scale regimes. Numerical simulations reveal that the spatial scale is a very important determinant of neural oscillations in gamma band. The spectral power is enhanced by decreasing feedback spatial spread. This enhancement can also occur if the feedforward is global. However, when the feedforward is topographic, the oscillations saturate to a steady state. In brief, the topographic feedback alone enables the system to modulate gamma activity with the spatial scale, while the introduction of topography in feedforward brings little effect on oscillations. What our results further indicate is that the topographic feedback can induce and enhance oscillations even when the external stimulus is local.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China under Grant No. 61203375, and the Doctoral Foundation of University of Jinan under Grant No. XBS1240.
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Xie, J., Zhao, J., Zhao, Q. (2015). Topographic Modulations of Neural Oscillations in Spiking Networks. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science(), vol 9225. Springer, Cham. https://doi.org/10.1007/978-3-319-22180-9_16
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DOI: https://doi.org/10.1007/978-3-319-22180-9_16
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