Advanced models of neural networks nonlinear dynamics and stochasticity in biological neurons - Rigatos, Gerasimos G.; SpringerLink (Online service). (Berlin, Heidelberg Springer Berlin Heidelberg, 2015)
Modelling Biological Neurons in Terms of Electrical Circuits -- Systems Theory for the Analysis of Biological Neuron Dynamics -- Bifurcations and Limit Cycles in Models of Biological Systems -- Oscillatory Dynamics in Biological Neurons -- Synchronization of Circadian Neurons and Protein Synthesis Control -- Wave Dynamics in the Transmission of Neural Signals -- Stochastic Models of Biological Neuron Dynamics -- Synchronization of Stochastic Neural Oscillators Using Lyapunov Methods -- Synchronization of Chaotic and Stochastic Neurons Using Differential Flatness Theory -- Attractors in Associative Memories with Stochastic Weights -- Spectral Analysis of Neural Models with Stochastic Weights -- Neural Networks Based on the Eigenstates of the Quantum Harmonic Oscillator -- Quantum Control and Manipulation of Systems and Processes at Molecular Scale -- References -- Index.
Electronic reproduction.
Keywords: Dynamical systems theory; Neural networks; Nonlinear dynamical systems; Artificial intelligence; Electronic books