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Stefan cel Mare
University of Suceava
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  3/2020 - 4

A Digital Signal Amplification Device for Microelectrode Arrays based on Stochastic Resonance

FAMBRINI, F. See more information about FAMBRINI, F. on SCOPUS See more information about FAMBRINI, F. on IEEExplore See more information about FAMBRINI, F. on Web of Science, DESTRO-FILHO, J. B. See more information about  DESTRO-FILHO, J. B. on SCOPUS See more information about  DESTRO-FILHO, J. B. on SCOPUS See more information about DESTRO-FILHO, J. B. on Web of Science, Del Val CURA, L. M. See more information about  Del Val CURA, L. M. on SCOPUS See more information about  Del Val CURA, L. M. on SCOPUS See more information about Del Val CURA, L. M. on Web of Science, SAQUI, D. See more information about  SAQUI,  D. on SCOPUS See more information about  SAQUI,  D. on SCOPUS See more information about SAQUI, D. on Web of Science, SAITO, J. H. See more information about SAITO, J. H. on SCOPUS See more information about SAITO, J. H. on SCOPUS See more information about SAITO, J. H. on Web of Science
 
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Download PDF pdficon (2,097 KB) | Citation | Downloads: 648 | Views: 1,570

Author keywords
multielectrode, signal, stochastic, resonance, amplifier

References keywords
stochastic(29), resonance(26), review(11), noise(9), systems(6), physics(6), physical(6), signal(5), iecon(5), system(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-08-31
Volume 20, Issue 3, Year 2020, On page(s): 31 - 40
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.03004
Web of Science Accession Number: 000564453800004
SCOPUS ID: 85090348231

Abstract
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In this work, an experimental study was carried out about the construction of an amplification equipment based on the phenomenon of stochastic resonance (SR), which was initially thought to detect spikes and bursts from human and animal neuronal tissue, both in vitro (from microelectrode array, MEA) and in vivo, from electrodes in the cerebral cortex of mammals. The implemented equipment was called CADSR (Computer-Aided Digital Stochastic Resonator) and brings as innovation the fact of being controlled and monitored by the computer, through a graphical interface that allows an automatic tuning, making it possible to obtain the optimum level of noise to maintain SR in real-time. Experimental results show that for electrical signals from multi-electrode arrays with amplitude below 25 microvolts, the amplification system using stochastic resonance is better than conventional amplifier systems, which use operational amplifiers in linear configurations.


References | Cited By  «-- Click to see who has cited this paper

[1] Multichannell Systems. Acessed on line in December 2019, https://www.multichannelsystems.com/products/microelectrode-arrays/60mea10010ir-ti

[2] S. Rogan, R. Hilfiker, A. Schenk, A. Vogler, and J.Taeymans, "Effects of Whole-body Vibration with Stochastic Resonance on Balance in Persons with Balance Disability and Falls History - A Systematic Review", Researchs in Sports Medicine, 22, 294-313, 2014.
[CrossRef] [Web of Science Times Cited 20]


[3] S. Lu, Q. He, and J. Wang, "A review of stochastic resonance in rotating machine fault detection", Mechanical Systems and Signal Processing, 116, 230-260, 2019.
[CrossRef] [Web of Science Times Cited 270]


[4] S. P. Stefani, and J. M. Serrador, "Impact of galvanic vestibular stimulation-induced stochastic resonance on the output of the vestibular system: A systematic review", Brain Stimulation, 13, 533-535, 2020.
[CrossRef] [Web of Science Times Cited 10]


[5] K. Chiga, H. Tanaka, T. Yamazato, Y. Tadokoro, and S. Arai. "Development of add-on stochastic resonance device for the detection of subthreshold RF signals", Nagoya University, Nolta, IEICE, 2015.
[CrossRef]


[6] S. Jayram, K. Ouahada, F. Mekuria, "Stochastic Resonant Interference Managing Ontological Cognitive Radio for TV White Space", Proceedings of the International Conference on Advances in Computing and Communication Engineering (ICACCE), 28-29 Nov., pp. 336-341, 2016.
[CrossRef]


[7] P. Balenzuela, H. Braun, D. R. Chialvo, "The ghost of stochastic resonance: an introductory review", Contemporary Physics, 53, 1, 17-38, 2012.
[CrossRef] [Web of Science Times Cited 24]


[8] M. A. Barreto, F. Fambrini, J. H. Saito, "Microelectrode array signal amplification using stochastic resonance". Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE, pp: 2030 - 2035, Yokohama, Japan, 2015.
[CrossRef]


[9] F. Fambrini, J.H.Saito, L. M. D. V. Cura. MEA recording system circuit implementation. Industrial Electronics Society, IECON 2017 - 43th Annual Conference of the IEEE, pp: 8515-8520, Beijing. IECON 2017.
[CrossRef]


[10] M. D. McDonnell, N. G. Stocks, C. E. M. Pearce, D. Abbott, "Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization". New York, Cambridge Un. Press, 2008.
[CrossRef]


[11] F. Jaramillo, K. Wiesenfeld, "Mechano electrical transduction assisted by Brownian motion: a role for noise in the auditory system", NatureNeuroscience, 1, 384-388, 1998.
[CrossRef] [Web of Science Times Cited 162]


[12] S. Chandrasekhar, "Stochastic Problems in Physics and Astronomy", Rev. Mod. Phys. 15, 1. 1943.
[CrossRef]


[13] P. Chatterjee, L.Hernquist, A. Loeb, Brownian Motion in Gravitationally Interacting Systems . Phys Rev.Lett. 88, 121103, 2002.
[CrossRef] [Web of Science Times Cited 28]


[14] S. Vitali, V. Sposini, O. Sliusarenko, P. Paradisi, G. Castellani, G. Pagnini, "Langevin equation in complex media and anomalous diffusion". J. R. Soc. Interface 15: 20180282, 2018.
[CrossRef] [Web of Science Times Cited 28]


[15] Y. Gao, L.Xiao, "Simulation of weak signal detection based on stochastic resonance". Proceedings of the Third International Symposium on Electronic Commerce and Security Workshops(ISECS '10) Guangzhou, P. R. China, 29-31, pp. 329-331, 2010.

[16] R. Benzi, G. Parisi, A. Sutera and A. Vulpiani, "Stochastic resonance in climatic change", Tellus 34:10, 1982.

[17] P. Hanggi, "Stochastic resonance in biology: how noise can enhance detection of weak signals and help improve biological information processing" , Chemphyschem, 3, 285-290, 2002.
[CrossRef]


[18] P. Hanggi, M. E. Inchiosa, D. Fogliatti, A. R. Bulsara, "Nonlinear stochastic resonance: the saga of anomalous output-input gain", Physical Review E, 62, 6155-6163, 2000.
[CrossRef] [Web of Science Times Cited 88]


[19] P. Hanggi, P. Jung, C. Zerbe, F. Moss, "Can colored noise improve stochastic resonance, Journal of Statistical Physics", 70, 25-47, 1993.
[CrossRef] [Web of Science Times Cited 20]


[20] R. Rozenfeld, L. Schimansky-Geier, "Array-enhanced stochastic resonance in finite systems", Chaos, Solitons and Fractals, 11, 1937-1944, 2000.
[CrossRef] [Web of Science Times Cited 7]


[21] P. Imkeller, I. Pavlyukevich, "Stochastic resonance in two-state Markow chains" , Archiv der Mathematik, 77, 107-115, 2001.
[CrossRef] [Web of Science Times Cited 13]


[22] K. Drozhdin,. "Stochastic resonance in ferroelectric TGS crystals" , PhD. thesis, Mathematisch-Naturwissenschaftlich-Technischen Fakult¨at der Martin-Luther-Universitat Halle-Wittenberg, 2001.

[23] J. J. Collins, C. C. Chow, T. T. Imhoff, "Aperiodic stochastic resonance inexcitable systems", Physical Review E, 52, R3321-R3324, 1995.
[CrossRef] [Web of Science Times Cited 401]


[24] J. E. Levin, J. P. Miller, "Broadband neural encoding in the cricket cercal sensory system enhanced by stochastic resonance", Nature, 380, 165-168, 1996.
[CrossRef] [Web of Science Times Cited 618]


[25] A. Neiman, A. Silchenko, V. Anishchenko, L. Schimansky-Geier, "Stochastic resonance: noise-enhanced phase coherence", Physical Review E, 58,7118-7125. Part A, 1998.
[CrossRef]


[26] D. Rousseau, F. Chapeau-Blondeau. "Suprathreshold stochastic resonance and signal-to-noise ratio improvement in arrays of comparators", Physics Letters A, 321,280-290, 2004.
[CrossRef] [Web of Science Times Cited 7]


[27] P. E. Greenwood, L. M. Ward, W. Wefelmeyer, "Statistical analysis of stochastic resonance in a simple setting" , Physical Review E, 60, 4687-4695, 1999.
[CrossRef] [Web of Science Times Cited 52]


[28] M. E. Inchiosa, J. W. C. Robinson, A. R. Bulsara, "Information-theoretic stochastic resonance in noise-floor limited systems: the case for adding noise", Physical Review Letters, 85, 3369-3372, 2000.
[CrossRef] [Web of Science Times Cited 38]


[29] M. D. McDonnell, D. Abbott, C. E. M. Pearce, "Analysis of noise enhanced information transmission in an array of comparators", Microelectronics Journal, 33, 1079-1089, 2002.
[CrossRef] [Web of Science Times Cited 63]


[30] L. Gammaitoni, M. Locher, A. Bulsara, P. H¨anggi, J. Neff, K. Wiesenfeld, W. Ditto, M. E. Inchiosa. Controlling stochastic resonance, Physical Review Letters, 82, 4574-4577, 1999.
[CrossRef] [Web of Science Times Cited 128]


[31] G. P. Harmer, B. R. Davis, D. Abbott, "A review of stochastic resonance: circuits and measurement", IEEE Transactions on Instrumentation and Measurement, 51, 299-309, 2002.
[CrossRef] [Web of Science Times Cited 164]


[32] A. M. Safian, U. Rashid, "Optimization of Stochastic-Resonance based Schmitt trigger through parametric analysis". Third International Conference on Electrical Engineering, 2009: 1-6, 2009.
[CrossRef]


[33] Digital potentiometer datasheet X9313, 2020. https://www.renesas.com/eu/en/products/data-converters/digital potentiometers/dcp/device/X9313.html.

[34] B. Zhou, M. D. McDonnell, Optimising threshold levels for information transmission in binary threshold networks: Independent multiplicative noise on each threshold, Physica A 419, 659-667, 2015.
[CrossRef] [Web of Science Times Cited 11]


[35] A. R. Silva, M. J. Oliveira (advisor). Stochastic resonance: general study and its application for the generation of the second harmonic. Dissertation (Physics) Physics Institute of the Sao Paulo University, Sao Paulo, 2011 (in Portuguese).



References Weight

Web of Science® Citations for all references: 2,152 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 60 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-04-15 18:42 in 165 seconds.




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