Cited by 6Neural dynamics and brain functionMemory and Neural MechanismsPsychiatry, Mental Health, Neuroscience

Brain Evolution as an Information Flow Designer: The Ground Architecture for Biological and Artificial General Intelligence

Shigeno, Shuichi·2017·Diversity and Commonality in Animals

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Registry

Crossref · 10.1007/978-4-431-56469-0_19

Cites

21 of 21 references verified0 citation errors · 0 not checkable

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  • Loops and multilayer architectures are a convergent evolutionary design, as suggested by the comparative study of neural networks in invertebrates and vertebrates.

    “A positive answer is suggested by the comparative study of neural networks in invertebrates and vertebrates [276,277].”

    From Fundamental constraints to the logic of living systems (2024) · cites this paper as [276]

  • Invertebrates and vertebrates, despite evolving along separate branches, exhibit similar network topologies.

    “Despite evolving along separate branches, these groups exhibit similar network topologies.”

    From Fundamental constraints to the logic of living systems (2024) · cites this paper as [276]

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Authors
Shigeno, S.
Affiliations
Japan Agency for Marine-Earth Science and Technology (JP)
Corresponding author
Shigeno, Shuichi
Venue
Diversity and Commonality in Animals
Published
2017
Pages
415-438
ISSN
  • 2509-5536 (ISSN-L)
  • 2509-5544
OpenAlex
W2586227838
Cited by
6
References
21
Citations by year
2024: 1 · 2021: 1 · 2020: 1 · 2018: 2 · 2017: 1
FWCI
3.11
Type
book chapter
Language
en
Open access
closed
Locations
Diversity and commonality in animals (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
Keywords
brain evolution, information flow, brain architecture, comparative neuroanatomy, octopus brain, insect brain, vertebrate brain, artificial general intelligence, biological intelligence, phylogenetic comparison, learning and memory

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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