Sparse coding

From Wikipedia, the free encyclopedia

The sparse coding model of neuronal communication is similar to the temporal coding model, but is not limited to just the time domain and can also be used to refer to the distribution of stimulus encoding across a network.

Under the sparse coding model, the information carried by neurons in the form of action potentials, or "spikes", is represented by a few neurons within a largely populated neuronal network.

Contrast this with population coding.

[edit] See also

[edit] References

  • Dayan P & Abbott LF. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. Cambridge, Massachusetts: The MIT Press; 2001. ISBN 0-262-04199-5
  • Rieke F, Warland D, de Ruyter van Steveninck R, Bialek W. Spikes: Exploring the Neural Code. Cambridge, Massachusetts: The MIT Press; 1999. ISBN 0-262-68108-0