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Copying and Evolution of Neuronal Topology

Overview of attention for article published in PLOS ONE, November 2008
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Title
Copying and Evolution of Neuronal Topology
Published in
PLOS ONE, November 2008
DOI 10.1371/journal.pone.0003775
Pubmed ID
Authors

Chrisantha Fernando, K. K. Karishma, Eörs Szathmáry

Abstract

We propose a mechanism for copying of neuronal networks that is of considerable interest for neuroscience for it suggests a neuronal basis for causal inference, function copying, and natural selection within the human brain. To date, no model of neuronal topology copying exists. We present three increasingly sophisticated mechanisms to demonstrate how topographic map formation coupled with Spike-Time Dependent Plasticity (STDP) can copy neuronal topology motifs. Fidelity is improved by error correction and activity-reverberation limitation. The high-fidelity topology-copying operator is used to evolve neuronal topologies. Possible roles for neuronal natural selection are discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
France 4 4%
Brazil 2 2%
Germany 1 <1%
Chile 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Portugal 1 <1%
China 1 <1%
Other 3 3%
Unknown 88 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 24%
Student > Ph. D. Student 24 22%
Student > Master 15 14%
Student > Bachelor 12 11%
Professor 6 6%
Other 20 19%
Unknown 5 5%
Readers by discipline Count As %
Computer Science 27 25%
Agricultural and Biological Sciences 23 21%
Psychology 12 11%
Engineering 11 10%
Neuroscience 6 6%
Other 25 23%
Unknown 4 4%