Sparse coding
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 about stimulus features is carried by neurons in the form of action potentials, or "spikes", is represented by a few neurons within a largely populated neuronal network. Thus, the representation of the stimulus feature is sparse within the population of neurons.
Contrast this with population coding.
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 about stimulus features (that is carried by neurons in the form of action potentials or "spikes") is represented by a few neurons within a largely populated neuronal network. Thus, the representation of the stimulus feature is sparse within the population of neurons.
Contrast this with population coding.
See also
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
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