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An excitable electronic circuit as a sensory neuron model

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Bruno N. S. Medeiros, Victor Minces, Gabriel B. Mindlin, Mauro Copelli, José R. Rios Leite

Biological Physics · Submitted 3 Oct 2011

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim An electronic circuit device, inspired on the FitzHugh-Nagumo model of neuronal excitability, was constructed and shown to operate with characteristics compatible with those of biological sensory neurons.

how it is stated · asserted 0.93 read the record →

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arXiv ID1110.0373 (version 1)
Pith IDSFTV4SMH, Pith's permanent record of this paper and its review
CitationBruno N. S. Medeiros, Gabriel B. Mindlin, Jos\'e R. Rios Leite, Mauro Copelli, Victor Minces. "An excitable electronic circuit as a sensory neuron model." arXiv:1110.0373 (2011). https://pith.science/paper/SFTV4SMH
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,862 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.09 · human participants 0.02 · controlled comparison 0.05 · randomized assignment 0.01 · states quantitative result 0.98 · compares with prior results 0.70 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

An electronic circuit device, inspired on the FitzHugh-Nagumo 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.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 An electronic circuit device, inspired on the FitzHugh-Nagumo model of neuronal excitability, was constructed and shown to operate with characteristics compatible with those of biological sensory neurons. contribution 0.95 0.94 0.79 asserted 0.93
s1 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. result 0.87 0.90 0.12 asserted 1.00
s2 Moreover, we have implemented an analog noise generator as a source to study the variability of the spike trains. method 0.90 0.95 0.04 asserted 1.00
s3 When the circuit is in the excitable regime, coherence resonance is observed. result 1.00 0.91 0.09 asserted 1.00
s4 At sufficiently low noise intensity the spike trains have Poisson statistics, as in many biological neurons. result 0.99 0.89 0.07 asserted 1.00
s5 The transfer function of the stochastic spike trains has a dynamic range of 6 dB, close to experimental values for real olfactory receptor neurons. result 0.98 0.90 0.13 asserted 1.00

What kind of paper the classifier reports this is: empirical study 0.54 · evidence from observation or experiment 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

An electronic circuit device, inspired on the FitzHugh-Nagumo 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.

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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