References
- Keyes RW. Fundamental limits of silicon technology. Proc IEEE. 2001;89:227–239.
- Calhoun BH, Cao Y, Li X, et al. Digital circuit design challenges and opportunities in the era of nanoscale CMOS. Proc IEEE. 2008;96:343–365.
- Likharev KK. Single-electron devices and their applications. Proc IEEE. 1999;87:606–632.
- Korotkov AN. Intrinsic noise of the single-electron transistor. Phys Rev B. 1994;49:10381–10392.
- Kish LB. End of Moore’s law: thermal (noise) death of integration in micro and nano electronics. Phys Lett A. 2002;305:144–149.
- Haensch W, Nowak EJ, Dennard RH, et al. Silicon CMOS devices beyond scaling. IBM J Res Dev. 2006;50:339–361.
- Stein RB, Gossen ER, Jones KE. Neuronal variability: noise or part of the signal? Nat Rev Neurosci. 2005;6:389–397.
- White JA, Rubinstein JT, Kay AR. Channel noise in neurons. Trends Neurosci. 2000;23:131–137.
- Rubinstein JT. Threshold fluctuations in an N sodium channel model of the node of Ranvier. Biophys J. 1995;68:779–785.
- Barber MJ, Ristig ML. Multiple thresholds in a model system of noisy ion channels. Phys Rev E. 2006;74. Article ID: 041913.
- Chen HS, Zhang JQ, Liu JQ. Structural-diversity-enhanced cellular ability to detect subthreshold extracellular signals. Phys Rev E. 2007;75. Article ID: 041910.
- Lesne A. Robustness: confronting lessons from physics and biology. Biol Rev. 2008;83:509–532.
- Faisal AA, Selen LPJ, Wolpert DM. Noise in the nervous system. Nat Rev Neurosci. 2008;9:292–303.
- McDonnell MD, Ward LM. The benefits of noise in neural systems: bridging theory and experiment. Nat Rev Neurosci. 2011;12:415–425.
- Ermentrout GB, Galán RF, Urban NN. Reliability, synchrony and noise. Trends Neurosci. 2008;31:428–434.
- Moss F, Ward LM, Sannita WG. Stochastic resonance and sensory information processing: a tutorial and review of application. Clin Neurophysiol. 2004;115:267–281.
- Deco G, Rolls ET, Romo R. Stochastic dynamics as a principle of brain function. Prog Neurobiol. 2009;88:1–16.
- McDonnell MD, Abbott D. What is stochastic resonance? definitions, misconceptions, debates, and its relevance to biology. PLoS Comput Biol. 2009;5. Article ID: e1000348.
- Gammaitoni L, Hänggi P, Jung P, et al. Stochastic resonance. Rev Mod Phys. 1998;70:223–287.
- Hirano Y, Segawa Y, Kawai T, et al. Stochastic resonance in a molecular redox circuit. J Phys Chem C. 2012;117:140–145.
- Oya T, Asai T, Kagaya R, et al. Stochastic resonance among single-electron neurons on Schottky wrap-gate devices. In: Ishii K, Natsume K, Hanazawa A, editors. The 2nd international conference on brain-inspired information technology held between 7 and 9 October 2005. Hibikino, Kitakyushu, Japan: Elsevier; 2006. p. 213–216.
- Oya T, Asai T, Kagaya R, et al. Neuronal synchrony detection on single-electron neural networks. Chaos Solitons Fract. 2006;27(4):887–894.
- Oya T, Asai T, Amemiya Y. Stochastic resonance in an ensemble of single-electron neuromorphic devices and its application to competitive neural networks. Chaos Soliton Fract. 2007;32:855–861.
- Cervera J, Manzanares JA, Mafe S. Bio-inspired signal transduction with heterogeneous networks of nanoscillators. Appl Phys Lett. 2012;100. Article ID: 093703.
- Cervera J, Manzanares JA, Mafe S. Biologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures. PLoS One. 2013;8. Article ID: e53821.
- Simonotto E, Riani M, Seife C, et al. Visual perception of stochastic resonance. Phys Rev Lett. 1997;78:1186–1189.
- Kano S, Tadaa T, Majima Y. Nanoparticle characterization based on STM and STS. Chem Soc Rev. 2015;44:970–987.
- Kasai S, Asai T. Stochastic resonance in Schottky wrap gate-controlled GaAs nanowire field effect transistors and their networks. Appl Phys Express. 2008;1. Article ID: 083001.
- Kasai S, Miura K, Shiratori Y. Threshold-variation-enhanced adaptability of response in a nanowire field-effect transistor network. Appl Phys Lett. 2010;96. Article ID: 194102.