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→Applications of SFG techniques in various fields of science: The study of Polychrony in neuroscience and combinatorics uses non linear signal flow graphs. I added this example. |
Citation bot (talk | contribs) Alter: chapter. Add: doi-access, page, s2cid, pages, journal. | Use this bot. Report bugs. | Suggested by Headbomb | Linked from Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia/Sandbox2 | #UCB_webform_linked 1795/2384 |
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| first2 =Alan V.
| last2 =Oppenhiem
| chapter
| series =Digital Signal Processing Workshop and IEEE Signal Processing Education Workshop (DSP/SPE)
| year = 2011
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** Simulation on analog computers<ref>{{harv|Robichaud|1962|loc=chapter 5 Direct Simulation on Analog Computers Through Signal Flow Graphs}}</ref>
*[[Neuroscience]] and [[Combinatorics]]
** Study of Polychrony<ref>{{Cite journal | title = Polychronization: computation with spikes|last = Izhikevich |first = Eugene M |journal = Neural Computation | date = Feb 2006|doi= 10.1162/089976606775093882 | pmid = 16378515 | volume = 18 | issue = 2 |pages = 245–282 |s2cid = 14253998 }}</ref> <ref>{{Cite journal | title = Polychrony as Chinampas
|author = Dolores-Cuenca, E.& Arciniega-Nevárez, J.A.& Nguyen, A.& Zou, A.Y.& Van Popering, L.& Crock, N.& Erlebacher, G.& Mendoza-Cortes, J.L.
|journal = Algorithms
| date = April 2023|doi= 10.3390/a16040193 | volume = 16|issue = 4
|doi-access = free
}}</ref>
==See also==
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