Literature DB >> 33796209

On the theory of mental representation block. a novel perspective on learning and behavior.

Tobore Onojighofia Tobore1.   

Abstract

Understanding the mechanisms behind memory, learning, and behavior is crucial to human development and significant research has been done in this area. Classical and operant conditioning and other theories of learning have elucidated different mechanisms of learning and how it modulates behavior. Even with advances in this area, questions remain on how to unlearn faulty ideas or extinguish maladaptive behaviors. In this paper, a novel theory to improve our understanding of this area is proposed. The theory proposes that as a consequence of the brain's energy efficiency evolutionary adaptations, all learning following memory consolidation, reconsolidation, and repeated reinforcements or strengthening over time, results in a phenomenon called mental representation block. The implications of this block on learning and behavior are significant and broad and include cognitive biases, belief in a creator or God, close-mindedness, dogmatism, physician misdiagnosis, racism, homophobia, and transphobia, susceptibility to deception and indoctrination, hate and love, artificial intelligence and creativity.
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Learning; artificial Intelligence; behavior; brain’s Resistance to Change; close-mindedness; cognitive and Neurodegenerative Diseases; conditioning; consolidation; creativity; deception; energy Efficiency; evolution; extinction; hate; homophobia; indoctrination; love; memory; mental Representation Block; neural network algorithm; physician misdiagnosis; psychiatric; racism; reconsolidation; schema; sleep; synaptic Transmission; teleological argument; Cognitive Biases; transphobia; why people believe in God

Year:  2021        PMID: 33796209      PMCID: PMC7971303          DOI: 10.1080/19420889.2021.1898752

Source DB:  PubMed          Journal:  Commun Integr Biol        ISSN: 1942-0889


  92 in total

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Authors:  S B Laughlin
Journal:  Curr Opin Neurobiol       Date:  2001-08       Impact factor: 6.627

2.  Cellular and systems reconsolidation in the hippocampus.

Authors:  Jacek Debiec; Joseph E LeDoux; Karim Nader
Journal:  Neuron       Date:  2002-10-24       Impact factor: 17.173

3.  Metabolic cost as a unifying principle governing neuronal biophysics.

Authors:  Andrea Hasenstaub; Stephani Otte; Edward Callaway; Terrence J Sejnowski
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-23       Impact factor: 11.205

Review 4.  Astrocytic involvement in learning and memory consolidation.

Authors:  Marie E Gibbs; Dana Hutchinson; Leif Hertz
Journal:  Neurosci Biobehav Rev       Date:  2008-03-27       Impact factor: 8.989

5.  Energy-efficient action potentials in hippocampal mossy fibers.

Authors:  Henrik Alle; Arnd Roth; Jörg R P Geiger
Journal:  Science       Date:  2009-09-11       Impact factor: 47.728

6.  Metabolic costs and evolutionary implications of human brain development.

Authors:  Christopher W Kuzawa; Harry T Chugani; Lawrence I Grossman; Leonard Lipovich; Otto Muzik; Patrick R Hof; Derek E Wildman; Chet C Sherwood; William R Leonard; Nicholas Lange
Journal:  Proc Natl Acad Sci U S A       Date:  2014-08-25       Impact factor: 11.205

Review 7.  Facets of Pavlovian and operant extinction.

Authors:  K Matthew Lattal; Kennon A Lattal
Journal:  Behav Processes       Date:  2012-03-23       Impact factor: 1.777

8.  Scaling of brain metabolism with a fixed energy budget per neuron: implications for neuronal activity, plasticity and evolution.

Authors:  Suzana Herculano-Houzel
Journal:  PLoS One       Date:  2011-03-01       Impact factor: 3.240

9.  The neuroendocrinology of love.

Authors:  Krishna G Seshadri
Journal:  Indian J Endocrinol Metab       Date:  2016 Jul-Aug

Review 10.  Brain energetics during the sleep-wake cycle.

Authors:  Mauro DiNuzzo; Maiken Nedergaard
Journal:  Curr Opin Neurobiol       Date:  2017-10-09       Impact factor: 6.627

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