Formation of Autapse Connected to Neuron and Its Biological Function
| Title: | Formation of Autapse Connected to Neuron and Its Biological Function |
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| Authors: | Chunni Wang, Shengli Guo, Ying Xu, Jun Ma, Jun Tang, Faris Alzahrani, Aatef Hobiny |
| Source: | Complexity, Vol 2017 (2017) |
| Publisher Information: | Hindawi-Wiley, 2017. |
| Publication Year: | 2017 |
| Collection: | LCC:Electronic computers. Computer science |
| Subject Terms: | Electronic computers. Computer science, QA75.5-76.95 |
| More Details: | Autapse is a specific synapse connected to the neuron via close loop, and its functional adjusting is described by applying time-delayed feedback on the membrane potential of the neuron. This paper discussed the possible formation mechanism and biological function of autapse connection on neurons. We believe that the formation and growth of autapse connected to neuron can be associated with injury on axon and blocking in signal transmission; thus auxiliary loop is developed to form an autapse. When autapse is set up, it can propagate the signals and change the modes of electrical activities under self-adaption. Based on the cable neuron model, the injury on axon is generated by poisoning and blocking in ion channels (of sodium); thus the conductance of ion channels are changed to form injury-associated defects. Furthermore, auxiliary loop with time delay is designed to restore and enhance signal propagation by setting different time delays and feedback gains. The numerical studies confirmed that appropriate time delay and feedback gain in electric or chemical autapse can help signal (or wave generated by external forcing) propagation across the blocked area. As a result, formation of autapse could be dependent on the injury of neuron and further enhances the self-adaption to external stimuli. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1076-2787 1099-0526 |
| Relation: | https://doaj.org/toc/1076-2787; https://doaj.org/toc/1099-0526 |
| DOI: | 10.1155/2017/5436737 |
| Access URL: | https://doaj.org/article/2c77d719a52240edb484f3b345182eb8 |
| Accession Number: | edsdoj.2c77d719a52240edb484f3b345182eb8 |
| Database: | Directory of Open Access Journals |
| ISSN: | 10762787 10990526 |
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| DOI: | 10.1155/2017/5436737 |
| Published in: | Complexity |
| Language: | English |