The effects of symmetry breaking on the dynamics of an inertial neural system with a non-monotonic activation function: Theoretical study, asymmetric multistability and experimental investigation

This publication has 30 references indexed in Scilit:

• Nonlinear Dynamics of Three-Neurons-Based Hopfield Neural Networks (HNNs): Remerging Feigenbaum Trees, Coexisting Bifurcations and Multiple Attractors
  Journal of Circuits, Systems and Computers, 2019
• Complex dynamics of a 4D Hopfield neural networks (HNNs) with a nonlinear synaptic weight: Coexistence of multiple attractors and remerging Feigenbaum trees
  AEU - International Journal of Electronics and Communications, 2018
• A unique chaotic snap system with a smoothly adjustable symmetry and nonlinearity: Chaos, offset-boosting, antimonotonicity, and coexisting multiple attractors
  Chaos, Solitons & Fractals, 2018
• Anti-periodic Solutions of Inertial Neural Networks with Time Delays
  Neural Processing Letters, 2016
• Bifurcations and multistability in the extended Hindmarsh–Rose neuronal oscillator
  Chaos, Solitons & Fractals, 2016
• Multitype Activity Coexistence in an Inertial Two-Neuron System with Multiple Delays
  International Journal of Bifurcation and Chaos, 2015
• Biological experimental demonstration of bifurcations from bursting to spiking predicted by theoretical models
  Nonlinear Dynamics, 2014
• Bifurcation analysis of a Morris–Lecar neuron model
  Biological Cybernetics, 2014
• Amplitude control approach for chaotic signals
  Nonlinear Dynamics, 2013
• Absolute term introduced to rebuild the chaotic attractor with constant Lyapunov exponent spectrum
  Nonlinear Dynamics, 2011