Solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing

How is the brain configured for creativity? What is the computational substrate for ‘eureka’ moments of insight? Here we argue that creative thinking arises ultimately from a synergy between low-energy stochastic and energy-intensive deterministic processing, and is a by-product of a nervous system...

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Detalles Bibliográficos
Autores principales: Palmer, Tim N., O’Shea, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4600914/
https://www.ncbi.nlm.nih.gov/pubmed/26528173
http://dx.doi.org/10.3389/fncom.2015.00124
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author Palmer, Tim N.
O’Shea, Michael
author_facet Palmer, Tim N.
O’Shea, Michael
author_sort Palmer, Tim N.
collection PubMed
description How is the brain configured for creativity? What is the computational substrate for ‘eureka’ moments of insight? Here we argue that creative thinking arises ultimately from a synergy between low-energy stochastic and energy-intensive deterministic processing, and is a by-product of a nervous system whose signal-processing capability per unit of available energy has become highly energy optimised. We suggest that the stochastic component has its origin in thermal (ultimately quantum decoherent) noise affecting the activity of neurons. Without this component, deterministic computational models of the brain are incomplete.
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spelling pubmed-46009142015-11-02 Solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing Palmer, Tim N. O’Shea, Michael Front Comput Neurosci Neuroscience How is the brain configured for creativity? What is the computational substrate for ‘eureka’ moments of insight? Here we argue that creative thinking arises ultimately from a synergy between low-energy stochastic and energy-intensive deterministic processing, and is a by-product of a nervous system whose signal-processing capability per unit of available energy has become highly energy optimised. We suggest that the stochastic component has its origin in thermal (ultimately quantum decoherent) noise affecting the activity of neurons. Without this component, deterministic computational models of the brain are incomplete. Frontiers Media S.A. 2015-10-12 /pmc/articles/PMC4600914/ /pubmed/26528173 http://dx.doi.org/10.3389/fncom.2015.00124 Text en Copyright © 2015 Palmer and O’Shea. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Palmer, Tim N.
O’Shea, Michael
Solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing
title Solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing
title_full Solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing
title_fullStr Solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing
title_full_unstemmed Solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing
title_short Solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing
title_sort solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4600914/
https://www.ncbi.nlm.nih.gov/pubmed/26528173
http://dx.doi.org/10.3389/fncom.2015.00124
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