Abstract
We investigated the implications of static noises in a pulse-density modulator based on Vestibulo-ocular Reflex model. We constructed a simple neuromorphic circuit consisting of an ensemble of single-electron devices and confirmed that static noises (heterogeneity in circuit parameters) introduced into the network indeed played an important role in improving the fidelity with which neurons could encode signals whose input frequencies are higher than the intrinsic response frequencies of single neurons. Through Monte-Carlo based computer simulations, we demonstrated that the heterogeneous network could corectly encode signals with input frequencies as high as 1 GHz, twice the range for single (or a network of homogeneous) neurons.
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References
Grabert, H., Devoret, M.H.: Single Charge Tunneling—Coulomb Blockade Phenomena in Nanostructures. Plenum Press, New York (1992)
Oya, T., et al.: Y. Int. J. Unconv. Comp. 1, 177–194 (2005)
Hospedales, T.M., et al.: Comp. 20, 756–778 (2008)
Stein, R.B.: Biophys. Journal 7, 37–68 (1967)
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Kikombo, A.K., Asai, T., Amemiya, Y. (2009). Pulse-Density Modulation with an Ensemble of Single-Electron Circuits Employing Neuronal Heterogeneity to Achieve High Temporal Resolution. In: Schmid, A., Goel, S., Wang, W., Beiu, V., Carrara, S. (eds) Nano-Net. NanoNet 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04850-0_8
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DOI: https://doi.org/10.1007/978-3-642-04850-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04849-4
Online ISBN: 978-3-642-04850-0
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