{'fraction_non_alphanumeric': 0.020833333333333332, 'fraction_numerical': 0.0, 'mean_word_length': 5.627586206896551, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Electromagnetic Fields Detectability in Stochastic HH-Like Neuronal Systems: Stochastic Resonance Paradigm Dependent on Biological Noise

Biological noise has already been shown to play a constructive role in neuronal processing and reliability, according to a phenomenon known as stochastic resonance (SR). This phenomenon has been previously observed by the authors in the detection of electromagnetic (EM) fields in the case of an additive white Gaussian input, roughly approximating the ensemble of noise sources. Recently, attention has been devoted to channel noise which plays a significant role in neuronal processing, being at the basis of some well-known behaviors like response unreliability, missing spikes during firing, or spontaneous action potentials in resting state. Here, an HH-like neuronal model is set up and accurate channels stochastic models are adopted to investigate possible noise-induced enhancements in the detection of EM fields.