An excitable electronic circuit as a sensory neuron model
An electronic circuit device, inspired on the FitzHughNagumo model of neuronal excitability, was constructed and shown to operate with characteristics compatible with those of biological sensory neurons. The nonlinear dynamical model of the electronics quantitatively reproduces the experimental obse...
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2012
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02181274_v22_n10_p_Medeiros http://hdl.handle.net/20.500.12110/paper_02181274_v22_n10_p_Medeiros |
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paper:paper_02181274_v22_n10_p_Medeiros2023-06-08T15:21:19Z An excitable electronic circuit as a sensory neuron model coherence resonance dynamic range Electronic circuit excitable element Hopf bifurcation Networks (circuits) Stochastic systems Timing circuits Coherence resonance Dynamic range excitable element Experimental values FitzHugh-Nagumo model Nonlinear dynamical models Olfactory receptor neurons Poisson statistic Neurons An electronic circuit device, inspired on the FitzHughNagumo model of neuronal excitability, was constructed and shown to operate with characteristics compatible with those of biological sensory neurons. The nonlinear dynamical model of the electronics quantitatively reproduces the experimental observations on the circuit, including the Hopf bifurcation at the onset of tonic spiking. Moreover, we have implemented an analog noise generator as a source to study the variability of the spike trains. When the circuit is in the excitable regime, coherence resonance is observed. At sufficiently low noise intensity the spike trains have Poisson statistics, as in many biological neurons. The transfer function of the stochastic spike trains has a dynamic range of 6 dB, close to experimental values for real olfactory receptor neurons. © 2012 World Scientific Publishing Company. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02181274_v22_n10_p_Medeiros http://hdl.handle.net/20.500.12110/paper_02181274_v22_n10_p_Medeiros |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
coherence resonance dynamic range Electronic circuit excitable element Hopf bifurcation Networks (circuits) Stochastic systems Timing circuits Coherence resonance Dynamic range excitable element Experimental values FitzHugh-Nagumo model Nonlinear dynamical models Olfactory receptor neurons Poisson statistic Neurons |
| spellingShingle |
coherence resonance dynamic range Electronic circuit excitable element Hopf bifurcation Networks (circuits) Stochastic systems Timing circuits Coherence resonance Dynamic range excitable element Experimental values FitzHugh-Nagumo model Nonlinear dynamical models Olfactory receptor neurons Poisson statistic Neurons An excitable electronic circuit as a sensory neuron model |
| topic_facet |
coherence resonance dynamic range Electronic circuit excitable element Hopf bifurcation Networks (circuits) Stochastic systems Timing circuits Coherence resonance Dynamic range excitable element Experimental values FitzHugh-Nagumo model Nonlinear dynamical models Olfactory receptor neurons Poisson statistic Neurons |
| description |
An electronic circuit device, inspired on the FitzHughNagumo model of neuronal excitability, was constructed and shown to operate with characteristics compatible with those of biological sensory neurons. The nonlinear dynamical model of the electronics quantitatively reproduces the experimental observations on the circuit, including the Hopf bifurcation at the onset of tonic spiking. Moreover, we have implemented an analog noise generator as a source to study the variability of the spike trains. When the circuit is in the excitable regime, coherence resonance is observed. At sufficiently low noise intensity the spike trains have Poisson statistics, as in many biological neurons. The transfer function of the stochastic spike trains has a dynamic range of 6 dB, close to experimental values for real olfactory receptor neurons. © 2012 World Scientific Publishing Company. |
| title |
An excitable electronic circuit as a sensory neuron model |
| title_short |
An excitable electronic circuit as a sensory neuron model |
| title_full |
An excitable electronic circuit as a sensory neuron model |
| title_fullStr |
An excitable electronic circuit as a sensory neuron model |
| title_full_unstemmed |
An excitable electronic circuit as a sensory neuron model |
| title_sort |
excitable electronic circuit as a sensory neuron model |
| publishDate |
2012 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02181274_v22_n10_p_Medeiros http://hdl.handle.net/20.500.12110/paper_02181274_v22_n10_p_Medeiros |
| _version_ |
1768546206696341504 |