IMPULSIVE SICNNS WITH CHAOTIC POSTSYNAPTIC CURRENTS

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Fen M. O., AKHMET M.

DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, cilt.21, sa.4, ss.1119-1148, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 21 Sayı: 4
  • Basım Tarihi: 2016
  • Doi Numarası: 10.3934/dcdsb.2016.21.1119
  • Dergi Adı: DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1119-1148
  • Anahtar Kelimeler: Shunting inhibitory cellular neural networks, discontinuous Li-Yorke chaos, chaotic inputs and outputs, impacts subject to cell and shunting principles, near-periodic discontinuous chaos, chaotification of impulsive SICNNs, CELLULAR NEURAL-NETWORKS, ALMOST-PERIODIC SOLUTIONS, GLOBAL EXPONENTIAL STABILITY, LI-YORKE CHAOS, SHUNTING INHIBITORY CNNS, ANTIPERIODIC SOLUTIONS, PATTERN-RECOGNITION, DYNAMICAL-SYSTEMS, SYNCHRONIZATION, EXISTENCE
  • TED Üniversitesi Adresli: Hayır

Özet

In the present study, we investigate the dynamics of shunting inhibitory cellular neural networks (SICNNs) with impulsive effects. We give a mathematical description of the chaos for the multidimensional dynamics of impulsive SICNNs, and prove its existence rigorously by taking advantage of the external inputs. The Li-Yorke definition of chaos is used in our theoretical discussions. In the considered model, the impacts satisfy the cell and shunting principles. This enriches the applications of SICNNs and makes the analysis of impulsive neural networks deeper. The technique is exceptionally useful for SICNNs with arbitrary number of cells. We make benefit of unidirectionally coupled SICNNs to exemplify our results. Moreover, the appearance of cyclic irregular behavior observed in neuroscience is numerically demonstrated for discontinuous dynamics of impulsive SICNNs.