Literature DB >> 31565087

Points and lines inside human brains.

Arturo Tozzi1, James F Peters2,3.   

Abstract

Starting from the tenets of human imagination, i.e., the concepts of lines, points and infinity, we provide a biological demonstration that the skeptical claim "human beings cannot attain knowledge of the world" holds true. We show that the Euclidean account of the point as "that of which there is no part" is just a conceptual device produced by our brain, untenable in our physical/biological realm: currently used terms like "lines, surfaces and volumes" label non-existent, arbitrary properties. We elucidate the psychological and neuroscientific features hardwired in our brain that lead us humans to think to points and lines as truly occurring in our environment. Therefore, our current scientific descriptions of objects' shapes, graphs and biological trajectories in phase spaces need to be revisited, leading to a proper portrayal of the real world's events: miniscule bounded physical surface regions stand for the basic objects in a traversal of spacetime, instead of the usual Euclidean points. Our account makes it possible to erase of a painstaking problem that causes many theories to break down and/or being incapable of describing extreme events: the unwanted occurrence of infinite values in equations. We propose a novel approach, based on point-free geometrical standpoints, that banishes infinitesimals, leads to a tenable physical/biological geometry compatible with human reasoning and provides a region-based topological account of the power laws endowed in nervous activities. We conclude that points, lines, volumes and infinity do not describe the world, rather they are fictions introduced by ancient surveyors of land surfaces. © Springer Nature B.V. 2019.

Entities:  

Keywords:  Continuum; Curvature; Infinity; Physical equations; Topology

Year:  2019        PMID: 31565087      PMCID: PMC6746874          DOI: 10.1007/s11571-019-09539-8

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  29 in total

1.  Learning as a phenomenon occurring in a critical state.

Authors:  Lucilla de Arcangelis; Hans J Herrmann
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-16       Impact factor: 11.205

Review 2.  A topological approach unveils system invariances and broken symmetries in the brain.

Authors:  Arturo Tozzi; James F Peters
Journal:  J Neurosci Res       Date:  2016-02-16       Impact factor: 4.164

3.  The brain in fractal time: 1/f-like power spectrum scaling of the human electroencephalogram.

Authors:  W S Pritchard
Journal:  Int J Neurosci       Date:  1992-09       Impact factor: 2.292

Review 4.  The free-energy principle: a unified brain theory?

Authors:  Karl Friston
Journal:  Nat Rev Neurosci       Date:  2010-01-13       Impact factor: 34.870

5.  The impact of spike-frequency adaptation on balanced network dynamics.

Authors:  Victor J Barranca; Han Huang; Sida Li
Journal:  Cogn Neurodyn       Date:  2018-09-03       Impact factor: 5.082

6.  The human brain from above: an increase in complexity from environmental stimuli to abstractions.

Authors:  James F Peters; Arturo Tozzi; Sheela Ramanna; Ebubekir İnan
Journal:  Cogn Neurodyn       Date:  2017-03-29       Impact factor: 5.082

Review 7.  Functional cell classes and functional architecture in the early visual system of a highly visual rodent.

Authors:  Stephen D Van Hooser; J Alexander Heimel; Sacha B Nelson
Journal:  Prog Brain Res       Date:  2005       Impact factor: 2.453

8.  From C60 to Infinity: Large-Scale Quantum Chemistry Calculations of the Heats of Formation of Higher Fullerenes.

Authors:  Bun Chan; Yukio Kawashima; Michio Katouda; Takahito Nakajima; Kimihiko Hirao
Journal:  J Am Chem Soc       Date:  2016-01-22       Impact factor: 15.419

Review 9.  Thalamocortical processing in vision.

Authors:  Reece Mazade; Jose Manuel Alonso
Journal:  Vis Neurosci       Date:  2017-01       Impact factor: 3.241

10.  Arrow of time and its reversal on the IBM quantum computer.

Authors:  G B Lesovik; I A Sadovskyy; M V Suslov; A V Lebedev; V M Vinokur
Journal:  Sci Rep       Date:  2019-03-13       Impact factor: 4.379

View more
  1 in total

1.  Removing uncertainty in neural networks.

Authors:  Arturo Tozzi; James F Peters
Journal:  Cogn Neurodyn       Date:  2020-02-27       Impact factor: 5.082

  1 in total

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