{'fraction_non_alphanumeric': 0.009735744089012517, 'fraction_numerical': 0.0, 'mean_word_length': 5.260869565217392, '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}}
Emergence of antiphase bursting in two populations of randomly spiking elements.

Animal locomotion activity relies on the generation and control of coordinated periodic actions in a central pattern generator (CPG). A core element of many CPGs responsible for the rhythm generation is a pair of reciprocally coupled neuron populations. Recent interest in the development of highly reduced models of CPG networks is motivated by utilization of CPG models in applications for biomimetic robotics. This paper considers the use of a reduced model in the form of a discrete time system to study the emergence of antiphase bursting activity in two reciprocally coupled populations evoked by the postinhibitory rebound effect.