{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/discrete-modeling-of-multi-transmitter-neural","title":"Discrete Modeling of Multi-Transmitter Neural Networks with Neuron Competition","arxiv_id":"1705.02176","date":"2017-05-05","proceeding":null,"authors":["Nikolay Bazenkov","Varvara Dyakonova","Oleg Kuznetsov","Dmitri Sakharov","Dmitry Vorontsov","Liudmila Zhilyakova"],"abstract":"We propose a novel discrete model of central pattern generators (CPG),\nneuronal ensembles generating rhythmic activity. The model emphasizes the role\nof nonsynaptic interactions and the diversity of electrical properties in\nnervous systems. Neurons in the model release different neurotransmitters into\nthe shared extracellular space (ECS) so each neuron with the appropriate set of\nreceptors can receive signals from other neurons. We consider neurons,\ndiffering in their electrical activity, represented as finite-state machines\nfunctioning in discrete time steps. Discrete modeling is aimed to provide a\ncomputationally tractable and compact explanation of rhythmic pattern\ngeneration in nervous systems. The important feature of the model is the\nintroduced mechanism of neuronal competition which is shown to be responsible\nfor the generation of proper rhythms. The model is illustrated with two\nexamples: a half-center oscillator considered to be a basic mechanism of\nemerging rhythmic activity and the well-studied feeding network of a pond\nsnail. Future research will focus on the neuromodulatory effects ubiquitous in\nCPG networks and the whole nervous systems.","url_abs":"http://arxiv.org/abs/1705.02176v2","url_pdf":"http://arxiv.org/pdf/1705.02176v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"discrete-modeling-of-multi-transmitter-neural","repo_url":"https://github.com/bazenkov/MultiCPG","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"diversity","task_name":"Diversity"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}