(Q60629427)

English

The relative efficiency of modular and non-modular networks of different size

scientific article published in 2015

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scholarly article

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The relative efficiency of modular and non-modular networks of different size (English)

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object named as

Luke McNally

2

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author name string

Colin R Tosh

1

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language of work or name

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publication date

7 March 2015

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number of pages

1

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Proceedings of the Royal Society B

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282

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1802

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20142568-20142568

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Understanding the emergence of modularity in neural systems

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https://pubmed.ncbi.nlm.nih.gov/25631996

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Modularity in cognition: framing the debate

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Why are "What" and "Where" Processed by Separate Cortical Visual Systems? A Computational Investigation

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https://pubmed.ncbi.nlm.nih.gov/25631996

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Noise and the Evolution of Neural Network Modularity

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Effect size, confidence interval and statistical significance: a practical guide for biologists

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Computational modelling of visual attention

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Olfactory information processing in Drosophila.

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The evolutionary origins of modularity

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Toolbox model of evolution of prokaryotic metabolic networks and their regulation.

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The road to modularity.

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Energy limitation as a selective pressure on the evolution of sensory systems

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What does it take to evolve behaviorally complex organisms?

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The evolution of modularity in bacterial metabolic networks.

1 reference

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Modelling and analysis of gene regulatory networks

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Perceptual interference supports a non-modular account of face processing

1 reference

https://pubmed.ncbi.nlm.nih.gov/25631996

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The columnar organization of the neocortex

1 reference

https://pubmed.ncbi.nlm.nih.gov/25631996

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based on heuristic

inferred from PubMed ID database lookup

Energy as a constraint on the coding and processing of sensory information

1 reference

https://pubmed.ncbi.nlm.nih.gov/25631996

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based on heuristic

inferred from PubMed ID database lookup

Spontaneous evolution of modularity and network motifs

1 reference

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Identifiers

10.1098/RSPB.2014.2568

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