Activation Functions, Computational Goals, and Learning Rules for Local Processors with Contextual Guidance

@article{Kay1997ActivationFC,
  title={Activation Functions, Computational Goals, and Learning Rules for Local Processors with Contextual Guidance},
  author={Jim Kay and William A. Phillips},
  journal={Neural Computation},
  year={1997},
  volume={9},
  pages={895-910}
}
Information about context can enable local processors to discover latent variables that are relevant to the context within which they occur, and it can also guide short-term processing. For example, Becker and Hinton (1992) have shown how context can guide learning, and Hummel and Biederman (1992) have shown how it can guide processing in a large neural net for object recognition. This article studies the basic capabilities of a local processor with two distinct classes of inputs: receptive… CONTINUE READING
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