Emergence of Memory in Networks of Nonlinear Units: From Neurons to Plant Cells
Jun‐ichi Inoue · 2006
This chapter contains sections titled: Introduction Neural Networks The Model System Equations of States p = 1 Case Entropy of the System Internal Energy Density Compressibility Overlap at the Ground State for µ = 0 Replica Symmetric Calculations for the Case of Extensive Patterns Evaluation of the Saddle Point Phase Diagrams Para-spin-glass Phase Boundary Critical Chemical Potential µc at T = 0 Saddle-point Equations for µ < µc at T = 0 Entropy of the System High-temperature Limit At the Ground State Internal Energy The Compressibility Summary: Neural Networks Plant Intelligence: Brief Introduction The I–V Characteristics of Cell Membranes A Solvable Plant-intelligence Model and its Replica Analysis Replica Symmetric Solution Phase Diagrams Saddle-point Equations T = 0 Noiseless Limit Spin-glass Para-phase Boundary Phase Diagrams for T ≠ 0 Negative λ case Summary and Discussion References