Energy-efficient neuronal computation via quantal synaptic failures.

@article{Levy2002EnergyefficientNC,
  title={Energy-efficient neuronal computation via quantal synaptic failures.},
  author={William B. Levy and Robert A. Baxter},
  journal={The Journal of neuroscience : the official journal of the Society for Neuroscience},
  year={2002},
  volume={22 11},
  pages={4746-55}
}
Organisms evolve as compromises, and many of these compromises can be expressed in terms of energy efficiency. For example, a compromise between rate of information processing and the energy consumed might explain certain neurophysiological and neuroanatomical observations (e.g., average firing frequency and number of neurons). Using this perspective reveals that the randomness injected into neural processing by the statistical uncertainty of synaptic transmission optimizes one kind of… CONTINUE READING
Highly Cited
This paper has 216 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 76 extracted citations

216 Citations

0102030'05'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 216 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 36 references

Similar Papers

Loading similar papers…