ArticleCognitive neurodynamics2017
The human brain from above: an increase in complexity from environmental stimuli to abstractions.
Article in Cognitive neurodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Dynamics and energy encoding of a star-like neuron network composed of the Wang-Zhang model induced by compressing a sphere into a fingertip.Cognitive neurodynamics · 2026Article
- Neural mechanism of visual information degradation from retina to V1 area.Cognitive neurodynamics · 2021Article
- Points and lines inside human brains.Cognitive neurodynamics · 2019Review
- The frequent subgraphs of the connectome of the human brain.Cognitive neurodynamics · 2019Article
- Neurodynamic analysis of Merkel cell-neurite complex transduction mechanism during tactile sensing.Cognitive neurodynamics · 2019Article
- Simulation of retinal ganglion cell response using fast independent component analysis.Cognitive neurodynamics · 2018Article
- Comparing advanced graph-theoretical parameters of the connectomes of the lobes of the human brain.Cognitive neurodynamics · 2018Article
- The informational entropy endowed in cortical oscillations.Cognitive neurodynamics · 2018Article
- The Energy Coding of a Structural Neural Network Based on the Hodgkin-Huxley Model.Frontiers in neuroscience · 2018Article
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4 authors.
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Abstract
Contrary to common belief, the brain appears to increase the complexity from the perceived object to the idea of it. Topological models predict indeed that: (a) increases in anatomical/functional dimensions and symmetries occur in the transition from the environment to the higher activities of the brain, and (b) informational entropy in the primary sensory areas is lower than in the higher associative ones. To demonstrate this novel hypothesis, we introduce a straightforward approach to measuring island information levels in fMRI neuroimages, via Rényi entropy derived from tessellated fMRI images. This approach facilitates objective detection of entropy and corresponding information levels in zones of fMRI images generally not taken into account. We found that the Rényi entropy is higher in associative cortices than in the visual primary ones. This suggests that the brain lies in dimensions higher than the environment and that it does not concentrate, but rather dilutes messages coming from external inputs.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.