DOI: 10.1126/science.1225266. A Large-Scale Model of the Functioning Brain

A Large-Scale Model of the Functioning Brain

10.1126/science.1225266

Crossref journal-article

American Association for the Advancement of Science (AAAS)

Science (221)

Abstract

Modeling the BrainNeurons are pretty complicated cells. They display an endless variety of shapes that sprout highly variable numbers of axons and dendrites; they sport time- and voltage-dependent ion channels along with an impressive array of neurotransmitter receptors; and they connect intimately with near neighbors as well as former neighbors who have since moved away. Simulating a sizeable chunk of brain tissue has recently become achievable, thanks to advances in computer hardware and software.Eliasmithet al.(p.1202; see the Perspective byMachens) present their million-neuron model of the brain and show that it can recognize numerals, remember lists of digits, and write down those lists—tasks that seem effortless for a human but that encompass the triad of perception, cognition, and behavior.

Bibliography

Eliasmith, C., Stewart, T. C., Choo, X., Bekolay, T., DeWolf, T., Tang, Y., & Rasmussen, D. (2012). A Large-Scale Model of the Functioning Brain. Science, 338(6111), 1202â1205.

Authors 7

Chris Eliasmith (first)
Terrence C. Stewart (additional)
Xuan Choo (additional)
Trevor Bekolay (additional)
Travis DeWolf (additional)
Yichuan Tang (additional)
Daniel Rasmussen (additional)

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Dates

Type	When
Created	12 years, 8 months ago (Nov. 29, 2012, 2:15 p.m.)
Deposited	4 months ago (April 22, 2025, 8:01 p.m.)
Indexed	55 minutes ago (Aug. 27, 2025, 1:59 a.m.)
Issued	12 years, 8 months ago (Nov. 30, 2012)
Published	12 years, 8 months ago (Nov. 30, 2012)
Published Print	12 years, 8 months ago (Nov. 30, 2012)

Funders 0

None

BibTeX

@article{Eliasmith_2012, title={A Large-Scale Model of the Functioning Brain}, volume={338}, ISSN={1095-9203}, url={http://dx.doi.org/10.1126/science.1225266}, DOI={10.1126/science.1225266}, number={6111}, journal={Science}, publisher={American Association for the Advancement of Science (AAAS)}, author={Eliasmith, Chris and Stewart, Terrence C. and Choo, Xuan and Bekolay, Trevor and DeWolf, Travis and Tang, Yichuan and Rasmussen, Daniel}, year={2012}, month=nov, pages={1202–1205} }

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