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The energy use associated with neural computation in the cerebellum

Howarth, Clare, Peppiatt-Wildman, Claire M., Attwell, David (2009) The energy use associated with neural computation in the cerebellum. Journal of Cerebral Blood Flow & Metabolism, 30 (2). pp. 403-414. ISSN 0271-678X. (doi:10.1038/jcbfm.2009.231) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1038/jcbfm.2009.231

Abstract

The brain's energy supply determines its information processing power, and generates functional imaging signals, which are often assumed to reflect principal neuron spiking. Using measured cellular properties, we analysed how energy expenditure relates to neural computation in the cerebellar cortex. Most energy is used on information processing by non-principal neurons: Purkinje cells use only 18% of the signalling energy. Excitatory neurons use 73% and inhibitory neurons 27% of the energy. Despite markedly different computational architectures, the granular and molecular layers consume approximately the same energy. The blood vessel area supplying glucose and O2 is spatially matched to energy consumption. The energy cost of storing motor information in the cerebellum was also estimated.

Item Type: Article
DOI/Identification number: 10.1038/jcbfm.2009.231
Uncontrolled keywords: Action potential, cerebellum, energy, FMRI, synapse
Subjects: Q Science
R Medicine > RS Pharmacy and materia medica
Divisions: Faculties > Sciences > Medway School of Pharmacy
Depositing User: Stewart Brownrigg
Date Deposited: 07 Mar 2014 00:05 UTC
Last Modified: 29 May 2019 12:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/40403 (The current URI for this page, for reference purposes)
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