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Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism

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@article{IJASEIT8347,
   author = {Gianluca Susi and Simone Acciarito and Teodoro Pascual and Alessandro Cristini and Fernando Maestú},
   title = {Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {9},
   number = {2},
   year = {2019},
   pages = {569--574},
   keywords = {LIFL neuron model; electronic oscillators; dynamical relaying; spiking neural networks.},
   abstract = {Electronic oscillators are used for the generation of both continuous and discrete signals, playing a fundamental role in today’s electronics. In both contexts, these systems require stringent performances such as spectral purity, low phase noise, frequency and temperature stability. In state of the art oscillators the preservation of some of these aspects is jeopardized by specific critical issues, e.g., the sensitivity to load capacitance or the component aging over time. This leaves room for the search of new technologies for their realization. On the other hand, in the last decade electronics has been influenced by a growing number of neuro-inspired mechanisms, which allowed for alternative techniques aimed at solving some classical critical issues.In this paper we present an exploratory study for the development of electronic oscillators based on the neuro-inspired mechanism dynamical relaying, which relies on a structure composed of three delay coupled units (as neurons or even neuron populations) able to resonate and self-organise to generate and maintain a given rhythm with great reliability over a considerable parameter range, showing robustness to noise. We used the recent leaky integrated and fire with latency (LIFL) as neuron model. We have initially developed the mathematical model of the neuro-inspired oscillator, and implemented it using Matlab®; then, we have realized the schematic of such system in PSpice®. Finally, the model has been validated to verify whether it observes the fundamental properties of the dynamical relaying mechanisms described in computational neuroscience studies, and if the circuit implementation presents the same behaviour of the mathematical model.Validation results suggest that the dynamical relaying mechanism can be proficuously taken in consideration as alternative strategy for the design of electronic oscillators.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8347},
   doi = {10.18517/ijaseit.9.2.8347}
}

EndNote

%A Susi, Gianluca
%A Acciarito, Simone
%A Pascual, Teodoro
%A Cristini, Alessandro
%A Maestú, Fernando
%D 2019
%T Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism
%B 2019
%9 LIFL neuron model; electronic oscillators; dynamical relaying; spiking neural networks.
%! Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism
%K LIFL neuron model; electronic oscillators; dynamical relaying; spiking neural networks.
%X Electronic oscillators are used for the generation of both continuous and discrete signals, playing a fundamental role in today’s electronics. In both contexts, these systems require stringent performances such as spectral purity, low phase noise, frequency and temperature stability. In state of the art oscillators the preservation of some of these aspects is jeopardized by specific critical issues, e.g., the sensitivity to load capacitance or the component aging over time. This leaves room for the search of new technologies for their realization. On the other hand, in the last decade electronics has been influenced by a growing number of neuro-inspired mechanisms, which allowed for alternative techniques aimed at solving some classical critical issues.In this paper we present an exploratory study for the development of electronic oscillators based on the neuro-inspired mechanism dynamical relaying, which relies on a structure composed of three delay coupled units (as neurons or even neuron populations) able to resonate and self-organise to generate and maintain a given rhythm with great reliability over a considerable parameter range, showing robustness to noise. We used the recent leaky integrated and fire with latency (LIFL) as neuron model. We have initially developed the mathematical model of the neuro-inspired oscillator, and implemented it using Matlab®; then, we have realized the schematic of such system in PSpice®. Finally, the model has been validated to verify whether it observes the fundamental properties of the dynamical relaying mechanisms described in computational neuroscience studies, and if the circuit implementation presents the same behaviour of the mathematical model.Validation results suggest that the dynamical relaying mechanism can be proficuously taken in consideration as alternative strategy for the design of electronic oscillators.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8347
%R doi:10.18517/ijaseit.9.2.8347
%J International Journal on Advanced Science, Engineering and Information Technology
%V 9
%N 2
%@ 2088-5334

IEEE

Gianluca Susi,Simone Acciarito,Teodoro Pascual,Alessandro Cristini and Fernando Maestú,"Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism," International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 2, pp. 569-574, 2019. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.9.2.8347.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Susi, Gianluca
AU  - Acciarito, Simone
AU  - Pascual, Teodoro
AU  - Cristini, Alessandro
AU  - Maestú, Fernando
PY  - 2019
TI  - Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 9 (2019) No. 2
Y2  - 2019
SP  - 569
EP  - 574
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - LIFL neuron model; electronic oscillators; dynamical relaying; spiking neural networks.
N2  - Electronic oscillators are used for the generation of both continuous and discrete signals, playing a fundamental role in today’s electronics. In both contexts, these systems require stringent performances such as spectral purity, low phase noise, frequency and temperature stability. In state of the art oscillators the preservation of some of these aspects is jeopardized by specific critical issues, e.g., the sensitivity to load capacitance or the component aging over time. This leaves room for the search of new technologies for their realization. On the other hand, in the last decade electronics has been influenced by a growing number of neuro-inspired mechanisms, which allowed for alternative techniques aimed at solving some classical critical issues.In this paper we present an exploratory study for the development of electronic oscillators based on the neuro-inspired mechanism dynamical relaying, which relies on a structure composed of three delay coupled units (as neurons or even neuron populations) able to resonate and self-organise to generate and maintain a given rhythm with great reliability over a considerable parameter range, showing robustness to noise. We used the recent leaky integrated and fire with latency (LIFL) as neuron model. We have initially developed the mathematical model of the neuro-inspired oscillator, and implemented it using Matlab®; then, we have realized the schematic of such system in PSpice®. Finally, the model has been validated to verify whether it observes the fundamental properties of the dynamical relaying mechanisms described in computational neuroscience studies, and if the circuit implementation presents the same behaviour of the mathematical model.Validation results suggest that the dynamical relaying mechanism can be proficuously taken in consideration as alternative strategy for the design of electronic oscillators.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8347
DO  - 10.18517/ijaseit.9.2.8347

RefWorks

RT Journal Article
ID 8347
A1 Susi, Gianluca
A1 Acciarito, Simone
A1 Pascual, Teodoro
A1 Cristini, Alessandro
A1 Maestú, Fernando
T1 Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism
JF International Journal on Advanced Science, Engineering and Information Technology
VO 9
IS 2
YR 2019
SP 569
OP 574
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 LIFL neuron model; electronic oscillators; dynamical relaying; spiking neural networks.
AB Electronic oscillators are used for the generation of both continuous and discrete signals, playing a fundamental role in today’s electronics. In both contexts, these systems require stringent performances such as spectral purity, low phase noise, frequency and temperature stability. In state of the art oscillators the preservation of some of these aspects is jeopardized by specific critical issues, e.g., the sensitivity to load capacitance or the component aging over time. This leaves room for the search of new technologies for their realization. On the other hand, in the last decade electronics has been influenced by a growing number of neuro-inspired mechanisms, which allowed for alternative techniques aimed at solving some classical critical issues.In this paper we present an exploratory study for the development of electronic oscillators based on the neuro-inspired mechanism dynamical relaying, which relies on a structure composed of three delay coupled units (as neurons or even neuron populations) able to resonate and self-organise to generate and maintain a given rhythm with great reliability over a considerable parameter range, showing robustness to noise. We used the recent leaky integrated and fire with latency (LIFL) as neuron model. We have initially developed the mathematical model of the neuro-inspired oscillator, and implemented it using Matlab®; then, we have realized the schematic of such system in PSpice®. Finally, the model has been validated to verify whether it observes the fundamental properties of the dynamical relaying mechanisms described in computational neuroscience studies, and if the circuit implementation presents the same behaviour of the mathematical model.Validation results suggest that the dynamical relaying mechanism can be proficuously taken in consideration as alternative strategy for the design of electronic oscillators.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8347
DO  - 10.18517/ijaseit.9.2.8347