Resource allocation in the brain

Ricardo Alonso, Isabelle Brocas and Juan D. Carrillo

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: When an individual performs several tasks simultaneously, processing resources must be allocated to different brain systems to produce energy for neurons to fire. Following the evidence from neuroscience, we model the brain as an organization in which a coordinator allocates limited resources to the brain systems responsible for the different tasks. Systems are privately informed about the amount of resources necessary to perform their task and compete to obtain the resources. The coordinator arbitrates the demands while satisfying the resource constraint. We show that the optimal mechanism is to impose to each system with privately known needs a cap in resources that depends negatively on the amount of resources requested by the other system. This allocation can be implemented using a biologically plausible mechanism. Finally, we provide some implications of our theory: (i) performance can be flawless for sufficiently simple tasks, (ii) the dynamic allocation rule exhibits inertia (current allocations are increasing in past needs), and (iii) different cognitive tasks are performed by different systems only if the tasks are sufficiently important.

Keywords: Mechanism design; Revelation principle; Neuroeconomic theory; Resource allocation; Multiple brain systems; Task inertia; Neural Darwinism (search for similar items in EconPapers)
JEL-codes: D71 D82 (search for similar items in EconPapers)
Date: 2014-04
New Economics Papers: this item is included in nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Published in Review of Economic Studies, April, 2014, 81(2), pp. 501-534. ISSN: 0034-6527

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http://eprints.lse.ac.uk/58649/ Open access version. (application/pdf)

Related works:
Journal Article: Resource Allocation in the Brain (2014)
Working Paper: Resource Allocation in the Brain (2011)
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Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:58649

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