Updated Energy Budgets for Neural Computation in the Neocortex and Cerebellum
University of British Columbia · University College London
Abstract
The brain's energy supply determines its information processing power, and generates functional imaging signals. The energy use on the different subcellular processes underlying neural information processing has been estimated previously for the grey matter of the cerebral and cerebellar cortex. However, these estimates need reevaluating following recent work demonstrating that action potentials in mammalian neurons are much more energy efficient than was previously thought. Using this new knowledge, this paper provides revised estimates for the energy expenditure on neural computation in a simple model for the cerebral cortex and a detailed model of the cerebellar cortex. In cerebral cortex, most signaling…
Citation impact
- FWCI
- 13.32
- Percentile
- 100%
- References
- 32
Authors
3Topics & keywords
- Neuroscience
- Excitatory postsynaptic potential
- Postsynaptic potential
- Neocortex
- Cerebellar cortex
- Inhibitory postsynaptic potential
- Cerebellum
- Cerebral cortex
- Affordable and clean energy