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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ning Ning Kejie Huang Luping Shi |
| Copyright Year | 2012 |
| Description | Author affiliation: Data Storage Institute, Agency of Science, Technology and Research, 5 Engineering Drive 1, Singapore 117608 (Ning Ning; Kejie Huang; Luping Shi) |
| Abstract | The conventional view of axon as a transmission cable has been challenged by continuous progress in neuroscience discoveries, which indicate the rich functional and computational repertoire of the axon. Recent experimental findings of slow integration induced persistent firing in distal axons of interneurons have shown that the slow integration from tens of seconds to minutes in distal axon leads to persistent firing of action potentials lasting for similar duration, suggesting that the axon performs its own integration functions. In this paper, we present an artificial neuron model including both somatic and axonal computation units, which reproduces the neural behavior of persistent firing. Complementary to the classic somatic computational unit which evokes action potentials by integrating dendritic inputs in a short timescale, the axon integrates the soma evoked spikes in a longer timescale of tens of second to minutes. Consequently the persistent firing behavior of the axon is determined through toggling the axon dynamics between passive conduction mode and persistent firing mode based on the integrated axonal potential. We present and discuss in this work the mathematical and neuromorphic models of the artificial neuron, as well as their simulation results. The artificial neuron proposed, being computationally efficient yet bio-plausible, would be useful to construct and simulate the large scale models of animal or human cortex, which provides a neuromorphic platform for further investigation of the possible functions of persistent firing and their roles in animal and human brain, especially their correlations with working memory. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 3834497 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467314886 |
| ISSN | 21614393 |
| e-ISBN | 9781467314909 |
| e-ISBN | 9781467314893 |
| DOI | 10.1109/IJCNN.2012.6252428 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-10 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Nerve fibers Mathematical model Computational modeling Biological system modeling Equations Integrated circuit modeling |
| Content Type | Text |
| Resource Type | Article |
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