Two Population Neural Field Model With Constant External Input

dc.contributor.authorAmmara Basharat,
dc.contributor.authorFA16-RMT-032
dc.contributor.authorDr. Muhammad Yousaf, Assistant Profesor
dc.contributor.authorLHR TP 5195
dc.date.accessioned2026-04-28T10:45:55Z
dc.date.issued2018
dc.description.abstractIn this work, We have study the two-population neural field Model under the effect of constant external inputs. Earlier, Blomquist et al.[1] investigated the stationary symmetric solution of two population model with no external input.They found that Amari stability analysis and linearized stability analysis produces same results. Later on Yousaf et al. [2] investigated the same model under the influence of spatial dependent external input and proved that the Amari technique and linearized stability technique does not produce same results. They also investigate the number of bumps as a function of amplitude parameter of external input and found at most four bump pairs. In our research work, We have to explore the two population neural field model under the effect of constant external input on bump solutions. We further, have to investigate the stability properties of stationary symmetric solutions by using two approaches (i) Amari approach (ii) standard linearized approach. Numerically, We will investigate the number of bumps as a function of width and amplitude parameter of external input
dc.identifier.urihttps://repository.cuilahore.edu.pk/123456789/3734
dc.language.isoen
dc.publisherLibrary Information Services, COMSATS University, Lahore Campus
dc.relation.ispartofseriesLHR TP 5195
dc.subjectdepartment of mathematics
dc.subjectLHR TP 5195
dc.subjectAmmara Basharat
dc.subjectFA16-RMT-032
dc.subjectTwo Population Neural Field Model With Constant External Input
dc.titleTwo Population Neural Field Model With Constant External Input
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
5195-final version2.pdf
Size:
841.4 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
319 B
Format:
Item-specific license agreed to upon submission
Description:

Collections