Weak electric fields detectability in a noisy neural network.

Abstract

We investigate the detectability of weak electric field in a noisy neural network based on Izhikevich neuron model systematically. The neural network is composed of excitatory and inhibitory neurons with similar ratio as that in the mammalian neocortex, and the axonal conduction delays between neurons are also considered. It is found that the noise intensity can modulate the detectability of weak electric field. Stochastic resonance (SR) phenomenon induced by white noise is observed when the weak electric field is added to the network. It is interesting that SR almost disappeared when the connections between neurons are cancelled, suggesting the amplification effects of the neural coupling on the synchronization of neuronal spiking. Furthermore, the network parameters, such as the connection probability, the synaptic coupling strength, the scale of neuron population and the neuron heterogeneity, can also affect the detectability of the weak electric field. Finally, the model sensitivity is studied in detail, and results show that the neural network model has an optimal region for the detectability of weak electric field signal.

AI evidence extraction

Main findings

Using an Izhikevich neuron network model with excitatory/inhibitory neurons and conduction delays, the authors report that noise intensity modulates detectability of a weak electric field signal and that white-noise-induced stochastic resonance occurs when the weak electric field is applied. Stochastic resonance largely disappeared when neuronal connections were removed, and multiple network parameters (e.g., connection probability, synaptic coupling strength, population scale, heterogeneity) affected detectability; an optimal region of model sensitivity was reported.

Outcomes measured

• Detectability of weak electric field signals in a noisy neural network model
• Stochastic resonance (white-noise-induced) in response to weak electric field input
• Effects of neural coupling and network parameters on signal detectability/synchronization

Limitations

• Computational/modeling study (Izhikevich neuron network), not an empirical exposure study in humans or animals
• No exposure characterization provided (e.g., frequency, field strength, duration) beyond 'weak electric field'
• Outcomes are model-based detectability/synchronization measures; health effects are not assessed

{
    "study_type": "other",
    "exposure": {
        "band": null,
        "source": null,
        "frequency_mhz": null,
        "sar_wkg": null,
        "duration": null
    },
    "population": null,
    "sample_size": null,
    "outcomes": [
        "Detectability of weak electric field signals in a noisy neural network model",
        "Stochastic resonance (white-noise-induced) in response to weak electric field input",
        "Effects of neural coupling and network parameters on signal detectability/synchronization"
    ],
    "main_findings": "Using an Izhikevich neuron network model with excitatory/inhibitory neurons and conduction delays, the authors report that noise intensity modulates detectability of a weak electric field signal and that white-noise-induced stochastic resonance occurs when the weak electric field is applied. Stochastic resonance largely disappeared when neuronal connections were removed, and multiple network parameters (e.g., connection probability, synaptic coupling strength, population scale, heterogeneity) affected detectability; an optimal region of model sensitivity was reported.",
    "effect_direction": "unclear",
    "limitations": [
        "Computational/modeling study (Izhikevich neuron network), not an empirical exposure study in humans or animals",
        "No exposure characterization provided (e.g., frequency, field strength, duration) beyond 'weak electric field'",
        "Outcomes are model-based detectability/synchronization measures; health effects are not assessed"
    ],
    "evidence_strength": "insufficient",
    "confidence": 0.7800000000000000266453525910037569701671600341796875,
    "peer_reviewed_likely": "yes",
    "keywords": [
        "weak electric field",
        "noisy neural network",
        "Izhikevich model",
        "stochastic resonance",
        "white noise",
        "neural coupling",
        "synchronization",
        "conduction delays",
        "detectability"
    ],
    "suggested_hubs": []
}

Comments

Log in to comment.

No comments yet.