Neural expectation: cerebellar and retinal analogs of cells fired by learnable or unlearned pattern classes

@article{Grossberg1972NeuralEC,
  title={Neural expectation: cerebellar and retinal analogs of cells fired by learnable or unlearned pattern classes},
  author={Stephen Grossberg},
  journal={Kybernetik},
  year={1972},
  volume={10},
  pages={49-57}
}
Neural networks are introduced which can be taught by classical or instrumental conditioning to fire in response to arbitrary learned classes of patterns. The filters of output cells are biased by presetting cells whose activation prepares the output cell to “expect” prescribed patterns. For example, an animal that learns to expect food in response to a lever press becomes frustrated if food does not follow the lever press. It's expectations are thereby modified, since frustration is negatively… CONTINUE READING
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The latter often use two successive layers of inhibition , analogous to horizontal and amacrine cell layers in vertebrate retinas .
The latter often use two successive layers of inhibition , analogous to horizontal and amacrine cell layers in vertebrate retinas .
Amacrine CellsConstitutional part ofRetina
The latter often use two successive layers of inhibition , analogous to horizontal and amacrine cell layers in vertebrate retinas .
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