Nonlinear neural networks: Principles, mechanisms, and architectures

  title={Nonlinear neural networks: Principles, mechanisms, and architectures},
  author={Stephen Grossberg},
  journal={Neural Networks},
An historical discussion is provided of the intellectual trends that caused nineteenth century interdisciplinary studies of physics and psychobiology by leading scientists such as Helmholtz, Maxwell, and Mach to splinter into separate twentieth-century scientific movements. The nonlinear, nonstationary, and nonlocal nature of behavioral and brain data are emphasized. Three sources of contemporary neural network research-the binary, linear, and continuous-nonlinear models-are noted. The… CONTINUE READING
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