In this paper we consider the neural field model for two neural populations. We investigate the properties of D-curves and we give some conditions for asymptotic stability. The asymptotic stability region is determined by using the Stépan's formula. Taking various delay terms into account, the effect of delay on the stability is investigated. Moreover we study on the stability cases by considering the real roots of the characteristic equation.
Amari, SI. Dynamics of pattern formation in lateral-inhibition type neural fields, Biol. Cybern. 27 (2), 77-87, 1977.
Erman, S., Demir, A. An analysis on the stability of a state dependent delay differential equation, Open Math., 14 (1), 425-435 ,2016.
Faye G. Symmetry breaking and pattern formation in some neural field equations, PhD thesis, University of Nice- Sophia Antipolis, 2012.
Faye, G., Faugeras, O. Some theoretical and numerical results for delayed neural field equations, Physica D, 239 (9), 561-578, 2010.
Huang, C., Vandewalle, S. An analysis of delay dependent stability for ordinary and partial differential equations with fixed and distributed delays, SIAM J. Sci. Comput., 25 (5), 1608-1632, 2004.
Insperger, T., St\'{e}p\'{a}n, G. Semi-discretization for time-delay
systems, Stability and engineering applications, New York, Springer, 2011.
McCormick, DA., Connors, BW., Lighthall, JW., Prince, DA. Comparative
electrophysiology of pyramidal and sparsely spiny stellate neurons of the
neocortex, J Neurophysiol, 54 (4), 782-806, 1985.
Stépan, G. Retarded dynamical systems: stability and
characteristic functions, England, Longman Scientific \& Technical, 1989.
Veltz, R. Interplay between synaptic delays and propagation delays in
neural field equations. Siam J Appl Dyn Syst, 12 (3), 1566-1612, 2013.
Veltz, R., Faugeras, O. Stability of the stationary solutions of neural
field equations with propagation delay. Journal of Mathematical Neuroscience 1:1, 2011.
Veltz, R., Faugeras, O. A center manifold result for delayed neural fields
equations, Siam J Math Anal 45 (3), 1527-1562, 2013.
Wilson, H., Cowan, J. A Mathematical theory of the functional dynamics of
cortical and thalamic nervous tissue. Biol. Cybern. 13 (2), 55-80, 1973.
Year 2018,
Volume: 47 Issue: 6, 1495 - 1502, 12.12.2018
Amari, SI. Dynamics of pattern formation in lateral-inhibition type neural fields, Biol. Cybern. 27 (2), 77-87, 1977.
Erman, S., Demir, A. An analysis on the stability of a state dependent delay differential equation, Open Math., 14 (1), 425-435 ,2016.
Faye G. Symmetry breaking and pattern formation in some neural field equations, PhD thesis, University of Nice- Sophia Antipolis, 2012.
Faye, G., Faugeras, O. Some theoretical and numerical results for delayed neural field equations, Physica D, 239 (9), 561-578, 2010.
Huang, C., Vandewalle, S. An analysis of delay dependent stability for ordinary and partial differential equations with fixed and distributed delays, SIAM J. Sci. Comput., 25 (5), 1608-1632, 2004.
Insperger, T., St\'{e}p\'{a}n, G. Semi-discretization for time-delay
systems, Stability and engineering applications, New York, Springer, 2011.
McCormick, DA., Connors, BW., Lighthall, JW., Prince, DA. Comparative
electrophysiology of pyramidal and sparsely spiny stellate neurons of the
neocortex, J Neurophysiol, 54 (4), 782-806, 1985.
Stépan, G. Retarded dynamical systems: stability and
characteristic functions, England, Longman Scientific \& Technical, 1989.
Veltz, R. Interplay between synaptic delays and propagation delays in
neural field equations. Siam J Appl Dyn Syst, 12 (3), 1566-1612, 2013.
Veltz, R., Faugeras, O. Stability of the stationary solutions of neural
field equations with propagation delay. Journal of Mathematical Neuroscience 1:1, 2011.
Veltz, R., Faugeras, O. A center manifold result for delayed neural fields
equations, Siam J Math Anal 45 (3), 1527-1562, 2013.
Wilson, H., Cowan, J. A Mathematical theory of the functional dynamics of
cortical and thalamic nervous tissue. Biol. Cybern. 13 (2), 55-80, 1973.
Özgür, B., Demir, A., & Erman, S. (2018). A note on the stability of a neural field model. Hacettepe Journal of Mathematics and Statistics, 47(6), 1495-1502.
AMA
Özgür B, Demir A, Erman S. A note on the stability of a neural field model. Hacettepe Journal of Mathematics and Statistics. December 2018;47(6):1495-1502.
Chicago
Özgür, Berrak, Ali Demir, and Sertaç Erman. “A Note on the Stability of a Neural Field Model”. Hacettepe Journal of Mathematics and Statistics 47, no. 6 (December 2018): 1495-1502.
EndNote
Özgür B, Demir A, Erman S (December 1, 2018) A note on the stability of a neural field model. Hacettepe Journal of Mathematics and Statistics 47 6 1495–1502.
IEEE
B. Özgür, A. Demir, and S. Erman, “A note on the stability of a neural field model”, Hacettepe Journal of Mathematics and Statistics, vol. 47, no. 6, pp. 1495–1502, 2018.
ISNAD
Özgür, Berrak et al. “A Note on the Stability of a Neural Field Model”. Hacettepe Journal of Mathematics and Statistics 47/6 (December 2018), 1495-1502.
JAMA
Özgür B, Demir A, Erman S. A note on the stability of a neural field model. Hacettepe Journal of Mathematics and Statistics. 2018;47:1495–1502.
MLA
Özgür, Berrak et al. “A Note on the Stability of a Neural Field Model”. Hacettepe Journal of Mathematics and Statistics, vol. 47, no. 6, 2018, pp. 1495-02.
Vancouver
Özgür B, Demir A, Erman S. A note on the stability of a neural field model. Hacettepe Journal of Mathematics and Statistics. 2018;47(6):1495-502.