{'fraction_non_alphanumeric': 0.027820710973724884, 'fraction_numerical': 0.0, 'mean_word_length': 4.785714285714286, '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}}
Various spike-trains from a digital spiking neuron: analysis of inter-spike intervals and their modulation

A digital spiking neuron can generate spike-trains having various inter-spike intervals (ISIs). Using an ISI-based modulation method, the spike-train can be symbolized by a digital code. We propose fast and rigorous analysis methods for the dynamics of the ISI and characteristics of the modulation. Then we can show that the DSN can encode a given input information into the output spike-train efficiently in a parameter case. Using an FPGA board, generation of a typical spike-train and its modulation can be confirmed in the laboratory.